Yr Athro Steven Schockaert

2024

• Mtumbuka, F. and Schockaert, S. 2024. EnCore: fine-grained entity typing by pre-training entity encoders on coreference chains. Presented at: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 17-22 March 2024.
• Ushio, A., Camacho Collados, J. and Schockaert, S. 2024. A RelEntLess benchmark for modelling graded relations between named entities. Presented at: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 17-22 March 2024.
• Es, S., Janes, J., Espinosa-Anke, L. and Schockaert, S. 2024. RAGAs: Automated evaluation of retrieval augmented generation. Presented at: The 18th Conference of the European Chapter of the Association for Computational Linguistics (System Demonstrations), 17-22 March 2024.
• Akash Anil, A., Gutierrez Basulto, V., Ibanez Garcia, Y. and Schockaert, S. 2024. Inductive knowledge graph completion with GNNs and rules: An analysis. Presented at: 2024 JOINT INTERNATIONAL CONFERENCE ON COMPUTATIONAL LINGUISTICS, LANGUAGE RESOURCES AND EVALUATION (LREC-COLING 2024), Turin, Italy, 20-25 May 2024.

2023

• Chatterjee, U. and Schockaert, S. 2023. Probing the conceptual space of ChatGPT and GPT-4. Presented at: 9th Workshop on Artificial Intelligence and Cognition, Bremen, 14-15 September 2023.
• Schockaert, S. 2023. Embeddings as epistemic states: Limitations on the use of pooling operators for accumulating knowledge. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, article number: 108981. (10.1016/j.ijar.2023.108981)
• Doval, Y., Camacho Collados, J., Espinosa-Anke, L. and Schockaert, S. 2023. Meemi: a simple method for post-processing and integrating cross-lingual word embeddings. Natural Language Engineering 29(3), pp. 746-768. (10.1017/S1351324921000280)
• Li, N., Kteich, H., Bouraoui, Z. and Schockaert, S. 2023. Distilling semantic concept embeddings from contrastively fine-tuned language models. Presented at: 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, 23-27 July 2023.
• Tedeschi, S. et al. 2023. What's the meaning of superhuman performance in today's NLU?. Presented at: The 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), 9-14 July 2023.
• Li, N., Bouraoui, Z. and Schockaert, S. 2023. Ultra-fine entity typing with prior knowledge about labels: a simple clustering based approach. Presented at: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 2023 Presented at Bouamor, H., Pino, J. and Bali, K. eds.Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics pp. 11744–11756., (10.18653/v1/2023.findings-emnlp.786)
• Gajbhiye, A., Bouraoui, Z., Li, N., Chatterjee, U., Espinosa-Anke, L. and Schockaert, S. 2023. What do deck chairs and sun hats have in common? Uncovering shared properties in large concept vocabularies. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP, Singapore, 6-10 December 2023 Presented at Bouamor, H., Pino, J. and Bali, K. eds.Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 10587–10596., (10.18653/v1/2023.emnlp-main.654)
• Kumar, N. and Schockaert, S. 2023. Solving hard analogy questions with relation embedding chains. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP, Singapore, 6-10 December 2023 Presented at Bouamor, H., Pino, J. and Bali, K. eds.Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 6224–6236., (10.18653/v1/2023.emnlp-main.382)
• Chatterjee, U., Gajbhiye, A. and Schockaert, S. 2023. Cabbage sweeter than cake? Analysing the potential of large language models for learning conceptual spaces. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP, Singapore, 6-10 December 2023 Presented at Bouamor, H., Pino, J. and Bali, K. eds.Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 11836–11842., (10.18653/v1/2023.emnlp-main.725)

2022

• Alghanmi, I., Espinosa-Anke, L. and Schockaert, S. 2022. Self-supervised intermediate fine-tuning of biomedical language models for interpreting patient case descriptions. Presented at: 29th International Conference on Computational Linguistics (COLING), Gyeongju, Republic of Korea, 12-17 October 2022Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics
• Gajbhiye, A., Espinosa-Anke, L. and Schockaert, S. 2022. Modelling commonsense properties using pre-trained bi-encoders. Presented at: 29th International Conference on Computational Linguistics (COLING), 12-17 October 2022Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics pp. 3971-3983.
• Alghanmi, I., Espinosa-Anke, L. and Schockaert, S. 2022. Interpreting patient descriptions using distantly supervised similar case retrieval. Presented at: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 11-15 July 2022Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). ACM pp. 460-470., (10.1145/3477495.3532003)
• Bouraoui, Z., Gutierrez Basulto, V. and Schockaert, S. 2022. Integrating ontologies and vector space embeddings using conceptual spaces. Presented at: International Research School in Artificial Intelligence in Bergen (AIB 2022), 7-11 June 2022The OpenAccess Series in Informatics, Vol. 99. Open Access Series in Informatics (OASIcs) Dagstuhl, Germany: Dagstuhl Publishing pp. 3:1-3:30., (10.4230/OASIcs.AIB.2022.3)
• Yan, K., Zhang, C., Hou, J., Wang, P., Bouraoui, Z., Jameel, S. and Schockaert, S. 2022. Inferring prototypes for multi-label few-shot image classification with word vector guided attention. Presented at: 36th AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada, 22 February - 01 March 2022.
• Wang, Y., Bouraoui, Z., Espinosa-Anke, L. and Schockaert, S. 2022. Sentence selection strategies for distilling word embeddings from BERT. Presented at: LREC 2022, 20-25 June 2022Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association (ELRA) pp. 2591-2600.
• Perez-Almendros, C., Espinosa-Anke, L. and Schockaert, S. 2022. Pre-training language models for identifying patronizing and condescending language: an analysis. Presented at: LREC 2022, 20-25 June 2022Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association pp. 3902-3911.
• Perez-Almendros, C. and Schockaert, S. 2022. Identifying condescending language: A tale of two distinct phenomena?. Presented at: Workshop on NLP for Positive Impact, UAE, 7 December 2022.

2021

• Alghanmi, I., Espinosa-Anke, L. and Schockaert, S. 2021. Probing pre-trained language models for disease knowledge. Findings 2021(August), pp. 3023-3033. (10.18653/v1/2021.findings-acl.266)
• Yan, K., Bouraoui, Z., Wang, P., Jameel, S. and Schockaert, S. 2021. Few-shot image classification with multi-facet prototypes. Presented at: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), Toronto, ON, Canada, 6-11 June 2021ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE pp. 1740-1744., (10.1109/ICASSP39728.2021.9414374)
• Ushio, A., Espinosa-Anke, L., Schockaert, S. and Camacho Collados, J. 2021. BERT is to NLP what AlexNet is to CV: can pre-trained language models identify analogies?. Presented at: 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 1-6 August 2021.
• Li, N., Bouraoui, Z., Camacho Collados, J., Espinosa-Anke, L., Gu, Q. and Schockaert, S. 2021. Modelling general properties of nouns by selectively averaging contextualised embeddings. Presented at: 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Virtual, 21-26 August 2021.
• Yan, K., Bouraoui, Z., Wang, P., Jameel, S. and Schockaert, S. 2021. Aligning visual prototypes with BERT embeddings for few-shot learning. Presented at: ACM International Conference on Multimedia Retrieval (ACM ICMR 2021), Taipei, Taiwan, 21-24 August 2021.
• Schockaert, S., Ibanez Garcia, Y. and Gutierrez Basulto, V. 2021. A description logic for analogical reasoning. Presented at: 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Virtual, 21-26 August 2021.
• Wang, Y., Bouraoui, Z., Espinosa-Anke, L. and Schockaert, S. 2021. Deriving word vectors from contextualized language models using topic-aware mention selection. Presented at: 6th Workshop on Representation Learning for NLP (RepL4NLP 2021), Virtual, 05 August 2021.
• Schockaert, S. 2021. Modelling monotonic and non-monotonic attribute dependencies with embeddings: a theoretical analysis. Presented at: 3rd Conference on Automated Knowledge Base Construction (AKBC 2021), Virtual, 4-8 October 2021.
• Schockaert, S., Ibanez Garcia, Y. and Gutierrez Basulto, V. 2021. Modelling concept interpolation in description logics using abstract betweenness relations. Presented at: 34th International Workshop on Description Logics (DL 2021), Bratislava, Slovakia, 19-22 September 2021.
• Ushio, A., Camacho Collados, J. and Schockaert, S. 2021. Distilling relation embeddings from pre-trained language models. Presented at: 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic, 7-11 November 2021.
• Schockaert, S. and Gutierrez Basulto, V. 2021. Modelling symbolic knowledge using neural representations. Presented at: Reasoning Web Summer School 2021, Leuven, Belgium, 8-15 September 2021.

2020

• Jeawak, S. S., Jones, C. B. and Schockaert, S. 2020. Predicting the environment from social media: a collective classification approach. Computers, Environment and Urban Systems 82 (10.1016/j.compenvurbsys.2020.101487)
• Bouraoui, Z., Camacho Collados, J. and Schockaert, S. 2020. Inducing relational knowledge from BERT. Presented at: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, NY, USA, 7-12 February 2020Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34. Vol. 5. pp. 7456-7463., (10.1609/aaai.v34i05.6242)
• Jeawak, S., Jones, C. and Schockaert, S. 2020. Predicting environmental features by learning spatiotemporal embeddings from social media. Ecological Informatics 55, article number: 101031. (10.1016/j.ecoinf.2019.101031)
• Bouraoui, Z., Camacho Collados, J., Espinosa-Anke, L. and Schockaert, S. 2020. Modelling semantic categories using conceptual neighborhood. Presented at: Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, NY, USA, 7-12 February 2020. pp. -.
• Camacho Collados, J., Doval, Y., Martínez-Cámara, E., Espinosa-Anke, L., Barbieri, F. and Schockaert, S. 2020. Learning cross-lingual word embeddings from Twitter via distant supervision. Proceedings of the International AAAI Conference on Web and Social Media 14(1), pp. 72-82.
• Hee Lee, J., Camacho Collados, J., Espinosa-Anke, L. and Schockaert, S. 2020. Capturing word order in averaging based sentence embeddings. Presented at: European Conference on Artificial Intelligence (ECAI2020), Santiago de Compostela, Spain, 29 August - 2 September.
• Svatoš, M., Schockaert, S., Davis, J. and Kuželka, O. 2020. STRiKE: Rule-driven relational learning using stratified k-entailment. Presented at: European Conference on Artificial Intelligence (ECAI2020), Santiago de Compostela, Spain, 29 August - 2 September.
• Alshaikh, R., Bouraoui, Z. and Schockaert, S. 2020. Hierarchical linear disentanglement of data-driven conceptual spaces. Presented at: International Joint Conferences on Artificial Intelligence Organization (IJCAI-PRICAI 2020), Yokohama, Japan, 11-17 July 2020.
• Ito, T., Camacho Collados, J., Sakaji, H. and Schockaert, S. 2020. Learning company embeddings from annual reports for fine-grained industry characterization. Presented at: FinNLP-2020 @ IJCAI-PRICAI 2020: The Second Workshop on Financial Technology and Natural Language Processing, Yokohama, Japan, 11-13 July 2020.
• Ibanez Garcia, Y., Gutierrez Basulto, V. and Schockaert, S. 2020. Plausible reasoning about EL-Ontologies using concept interpolation. Presented at: 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), Rhodes, Greece, 12-18 September 2020.
• Jeawak, S., Espinosa-Anke, L. and Schockaert, S. 2020. Cardiff University at SemEval-2020 Task 6: fine-tuning BERT for domain-specific definition classification. Presented at: International Workshop on Semantic Evaluation (SemEval 2020), Barcelona, Spain, 12-13 December 2020.
• Alghanmi, I., Espinosa-Anke, L. and Schockaert, S. 2020. Combining BERT with static word embeddings for categorizing social media. Presented at: 6th Workshop on Noisy User-generated Text (W-NUT 2020), Virtual, 19 November 2020.
• Alshaikh, R., Bouraoui, Z., Jeawak, S. and Schockaert, S. 2020. A mixture-of-experts model for learning multi-facet entity embeddings. Presented at: The 28th International Conference on Computational Linguistics (COLING 2020), Virtual, 8-13 December 2020.
• Pérez-Almendros, C., Espinosa-Anke, L. and Schockaert, S. 2020. Don't patronize me! An annotated dataset with patronizing and condescending language towards vulnerable communities. Presented at: The 28th International Conference on Computational Linguistics (COLING 2020), Virtual, 8-13 December 2020.

2019

• Bouraoui, Z. and Schockaert, S. 2019. Automated rule base completion as Bayesian concept induction. Presented at: AAAI-2019: 33rd AAAI Conference on Artificial Intelligence, Honololu, HI, USA, 27 January - 1 February 2019Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33. Vol. 1. Palo Alto, California: AAAI Press pp. 6228-6235., (10.1609/aaai.v33i01.33016228)
• Jameel, S., Fu, Z., Shi, B., Lam, W. and Schockaert, S. 2019. Word embedding as maximum a posteriori estimation. Presented at: AAAI-19: 33rd AAAI Conference on Artificial Intelligence, Honolulu, HI, USA, 27 January - 1 February 2019Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33. Vol. 1. Palo Alto, California: AAAI Press pp. 6562-6569., (10.1609/aaai.v33i01.33016562)
• Jeawak, S., Jones, C. and Schockaert, S. 2019. Embedding geographic locations for modelling the natural environment using Flickr tags and structured data. Presented at: ECIR 2019: 41st European Conference on Information Retrieval, Cologne, Germany, 14-18 April 2019. pp. -.
• Pérez-Almendros, C., Espinosa-Anke, L. and Schockaert, S. 2019. Cardiff University at SemEval-2019 Task 4: Linguistic features for hyperpartisan news detection. Presented at: SemEval-2019: International Workshop on Semantic Evaluation, Minneapolis, MN, USA, 6-7 June 2019.
• Zhou, Y., Schockaert, S. and Shah, J. A. 2019. Predicting ConceptNet path quality using crowdsourced assessments of naturalness. Presented at: The Web Conference 2019, San Francisco, CA, USA, 13-17 May 2019.
• Camacho Collados, J., Espinosa-Anke, L., Jameel, S. and Schockaert, S. 2019. A latent variable model for learning distributional relation vectors. Presented at: IJCAI-19: International Joint Conference on Artificial Intelligence, Macau, China, 10-16 August 2019.
• Jameel, S. and Schockaert, S. 2019. Word and document embedding with vMF-mixture priors on context word vectors. Presented at: 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, 28 July - 2 August 2019.
• Camacho Collados, J., Espinosa-Anke, L. and Schockaert, S. 2019. Relational word embeddings. Presented at: 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, 28 July - 2 August 2019.
• Espinosa-Anke, L., Wanner, L. and Schockaert, S. 2019. Collocation classification with unsupervised relation vectors. Presented at: 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, 28 July - 2 August 2019.
• Yilun, Z., Shah, J. and Schockaert, S. 2019. Learning household task knowledge from WikiHow descriptions. Presented at: 5th Workshop on Semantic Deep Learning, Macau, China, 10-16 August 2019.
• Li, N., Bouraoui, Z. and Schockaert, S. 2019. Ontology completion using graph convolutional networks. Presented at: 18th International Semantic Web Conference, Auckland, New Zealand, 26-30 October 2019.
• Alshaikh, R., Bouraoui, Z. and Schockaert, S. 2019. Learning conceptual spaces with disentangled facets. Presented at: CoNLL 2019: The SIGNLL Conference on Computational Natural Language Learning, Hong Kong, China, 3-4 November 2019.

2018

• Gutierrez Basulto, V. and Schockaert, S. 2018. From knowledge graph embedding to ontology embedding? An analysis of the compatibility between vector space representations and rules. Presented at: 16th International Conference on Principles of Knowledge Representation and Reasoning, Tempe, Arizona, 27 Oct - 2 Nov 2018.
• Ager, T., Kuzelka, O. and Schockaert, S. 2018. Modelling salient features as directions in fine-tuned semantic spaces. Presented at: SIGNLL Conference on Computational Natural Language Learning, Brussels, Belgium, 31 Oct - 1 Nov 2018.
• De Clercq, S., Schockaert, S., Nowé, A. and De Cock, M. 2018. Modelling incomplete information in Boolean games using possibilistic logic. International Journal of Approximate Reasoning 93, pp. 1-23. (10.1016/j.ijar.2017.10.017)
• Kuzelka, O., Wang, Y. and Schockaert, S. 2018. VC-dimension based generalization bounds for relational learning. Presented at: ECML-PKDD 2018: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, 10-14 Sept 2018.
• Alrehamy, H. H. and Walker, C. 2018. SemCluster: Unsupervised automatic keyphrase extraction using affinity propagation. Presented at: 17th UK Workshop on Computational Intelligence, Cardiff, UK, 6-8 September 2017 Presented at Chao, F., Schockaert, S. and Zhang, Q. eds.Advances in Computational Intelligence Systems: UKCI 2017, Vol. 650. Advances in Intelligent Systems and Computing Cham: Springer pp. 222-235., (10.1007/978-3-319-66939-7_19)
• Espinosa-Anke, L. and Schockaert, S. 2018. SeVeN: Augmenting word embeddings with unsupervised relation vectors. Presented at: 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, NM, USA, 20-26 August 2018.
• Bouraoui, Z., Jameel, M. and Schockaert, S. 2018. Relation induction in word embeddings revisited. Presented at: 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, NM, USA, 20-26 August 2018.
• Mushthofa, M., Schockaert, S., Ling-Hong, H., Kathleen, M. and Martine, D. C. 2018. Modeling multi-valued biological interaction networks using Fuzzy Answer Set Programming. Fuzzy Sets and Systems 345, pp. 63-82. (10.1016/j.fss.2018.01.003)
• Kuzelka, O., Wang, Y., Davis, J. and Schockaert, S. 2018. PAC-reasoning in relational domains. Presented at: UAI2018: 34th Conference on Uncertainty in Artificial Intelligence, Monterey, CA, USA, 6-10 August 2018.
• Jeawak, S., Jones, C. and Schockaert, S. 2018. Mapping wildlife species distribution with social media: Augmenting text classification with species names. Presented at: GIScience 2018: 10th International Conference on Geographic Information Science, Melbourne, Australia, 28-31 August 2018 Presented at Winter, S., Griffin, A. and Sester, M. eds.10th International Conference of Geographic Information Science (GIScience 2018), Vol. 114. Leibniz International Proceedings in Informatics (LIPIcs) Dagstuhl, Germany: Schloss Dagstuhl/Leibniz-Zentrum fuer Informatik pp. 34:1-34:6., (10.4230/LIPIcs.GISCIENCE.2018.34)
• Jameel, M., Bouraoui, Z. and Schockaert, S. 2018. Unsupervised learning of distributional relation vectors. Presented at: 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 15-20 July 2018.
• Schockaert, S. and Li, S. 2018. Reasoning about betweenness and RCC8 constraints in qualitative conceptual spaces. Presented at: 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-18), Stockholm, Sweden, 13-19 July 2018 Presented at Lang, J. ed.Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization pp. 1963-1969., (10.24963/ijcai.2018/271)
• Sourek, G., Aschenbrenner, V., Zelezny, F., Schockaert, S. and Kuzelka, O. 2018. Lifted relational neural networks: efficient learning of latent relational structures. Journal of Artificial Intelligence Research 62, pp. 69-100. (10.1613/jair.1.11203)
• Sourek, G., Svatos, M., Zelezny, F., Schockaert, S. and Kuzelka, O. 2018. Stacked structure learning for lifted relational neural networks. Presented at: International Conference on Inductive Logic Programming, Orléans, France, 4- 6 September 2017 Presented at Lachiche, N. and Vrain, C. eds.Inductive Logic Programming. Lecture Notes in Computer Science Vol. 10759. Springer pp. 140-151., (10.1007/978-3-319-78090-0_10)
• Kuzelka, O., Wang, Y., Davis, J. and Schockaert, S. 2018. Relational marginal problems: theory and estimation. Presented at: 32nd AAAI Conference on Artificial Intelligence, New Orleans, USA, 2-7 February 2018.
• Mushthofa, M., Schockaert, S. and De Cock, M. 2018. Fuzzy answer set programming: from theory to practice. In: Kosheleva, O. et al. eds. Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications. Springer
• Espinosa-Anke, L. and Schockaert, S. 2018. Syntactically aware neural architectures for definition extraction. Presented at: 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, 1-6 June 2018.
• Bouraoui, Z. and Schockaert, S. 2018. Learning conceptual space representations of interrelated concepts. Presented at: 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-18), Stockholm, Sweden, 13-19 July 2018 Presented at Lang, J. ed.Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization pp. 1760-1766., (10.24963/ijcai.2018/243)
• Doval, Y., Camacho-Collados, J., Espinosa Anke, L. and Schockaert, S. 2018. Improving cross-lingual word embeddings by meeting in the middle. Presented at: Conference on Empirical Methods in Natural Language Processing, Brussels, 31 October-4 November.
• Barbieri, F., Espinosa Anke, L., Camacho-Collados, J., Schockaert, S. and Saggion, H. 2018. Interpretable Emoji prediction via label-wise attention LSTM's. Presented at: Conference on Empirical Methods in Natural Language Processing, Brussels, 31 October-4 November.

2017

• Dubois, D., Prade, H. and Schockaert, S. 2017. Generalized possibilistic logic: foundations and applications to qualitative reasoning about uncertainty. Artificial Intelligence 252, pp. 139-174. (10.1016/j.artint.2017.08.001)
• Merhej, E., Schockaert, S., McKelvey, T. G. and Cock, M. D. 2017. Recommending treatments for comorbid patients using word-based and phrase-based alignment methods. Presented at: The 29th Benelux Conference on Artificial Intelligence, Groningen, 8-9 November 2017.
• Sheil, H. and Rana, O. 2017. Classifying and recommending using gradient boosted machines and vector space models. Presented at: 17th UK Workshop on Computational Intelligence, Cardiff, Wales, UK, 6-8 September 2017 Presented at Chao, F., Schockaert, S. and Zhang, Q. eds.Advances in Computational Intelligence Systems, Vol. 650. Advances in Intelligent Systems and Computing, Cham: Springer pp. 214-221., (10.1007/978-3-319-66939-7_18)
• Jameel, S., Bouraoui, Z. and Schockaert, S. 2017. MEmbER: Max-Margin Based Embeddings for Entity Retrieval. Presented at: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Tokyo, Japan, 7-11 August 2017SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: Association for Computing Machinery pp. 783-792., (10.1145/3077136.3080803)
• Shi, B., Lam, W., Jameel, S., Schockaert, S. and Lai, K. P. 2017. Jointly learning word embeddings and latent topics. Presented at: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Tokyo, Japan, 7-11 August 2017SIGIR '17 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: ACM pp. 375-384., (10.1145/3077136.3080806)
• Sourek, G., Manandhar, S., Zelezny, F., Schockaert, S. and Kuzelka, O. 2017. Learning predictive categories using lifted relational neural networks. Presented at: ILP 2016: International Conference on Inductive Logic Programming, London, UK, 4-6 September 2016 Presented at Cussens, J. and Russo, A. eds.Inductive Logic Programming, Vol. 10326. Lecture Notes in Computer Science Cham: Springer pp. 108-119., (10.1007/978-3-319-63342-8_9)
• Kuzelka, O., Davis, J. and Schockaert, S. 2017. Learning possibilistic logic theories from default rules (abridged version). Presented at: IJCAI-17: Workshop on Logical Foundations for Uncertainty and Machine Learning, Melbourne, Australia, 19-25 August 2017.
• Merhej, E., Schockaert, S. and De Cock, M. 2017. Repairing inconsistent answer set programs using rules of thumb: a gene regulatory networks case study. International Journal of Approximate Reasoning 83, pp. 243-264. (10.1016/j.ijar.2017.01.012)
• De Clercq, S., Bauters, K., Schockaert, S., Mihaylov, M., Nowe, A. and De Cock, M. 2017. Exact and heuristic methods for solving Boolean games. Autonomous Agents and Multi-Agent Systems 31(1), pp. 66-106. (10.1007/s10458-015-9313-5)
• Bouraoui, Z., Jameel, S. and Schockaert, S. 2017. Inductive reasoning in ontologies using conceptual spaces. Presented at: 31st AAAI Conference on Artificial Intelligence, San Francisco, CA, USA, 4-9 February 2017.
• Kuzelka, O., Davis, J. and Schockaert, S. 2017. Induction of interpretable possibilistic logic theories from relational data. Presented at: International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 19-26 August 2017.
• Jameel, S. and Schockaert, S. 2017. Modeling context words as regions: an ordinal regression approach to word embedding. Presented at: SIGNLL Conference on Computational Natural Language Learning, Vancouver, Canada, 3-4 August 2017 Presented at Levy, R. and Specia, L. eds.Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017). Association of Computing Language pp. 123-133., (10.18653/v1/K17-1014)
• Jeawak, S., Jones, C. B. and Schockaert, S. 2017. Using Flickr for characterizing the environment: an exploratory analysis. Presented at: 13th International Conference on Spatial Information Theory (COSIT), L’Aquila, Italy, 4-8 September 201713th International Conference on Spatial Information Theory (COSIT 2017). Leibniz International Proceedings in Informatics pp. 21:1-21:13., (10.4230/LIPIcs.COSIT.2017.21)
• Svatos, M., Sourek, G., Zelezny, F., Schockaert, S. and Kuzelka, O. 2017. Pruning hypothesis spaces using learned domain theories. Presented at: International Conference on Inductive Logic Programming, Orléans, France, 4-6 September 2017.

2016

• Jameel, S. and Schockaert, S. 2016. D-GloVe: A feasible least squares model for estimating word embedding densities. Presented at: 26th International Conference on Computational Linguistics, Osaka, Japan, 11-16 December 2016.
• Kuzelka, O., Davis, J. and Schockaert, S. 2016. Stratified knowledge bases as interpretable probabilistic models. Presented at: Interpretable ML for Complex Systems NIPS 2016 Workshop, Barcelona, Spain, 9 December 2016.
• Liao, Y., Lam, W., Jameel, S., Schockaert, S. and Xie, X. 2016. Who wants to join me? Companion recommendation in location based social networks. Presented at: ACM International Conference on the Theory of Information Retrieval, Newark, DE, 12 - 16 September 2016 Presented at Carterette, B. et al. eds.ICTIR '16 Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval. New York, NY: ACM pp. 271-280., (10.1145/2970398.2970420)
• Jameel, S. and Schockaert, S. 2016. Entity embeddings with conceptual subspaces as a basis for plausible reasoning. Presented at: 22nd European Conference on Artificial Intelligence, The Hague, The Netherlands, 29 August - 2 September 2016.
• Kuzelka, O., Davis, J. and Schockaert, S. 2016. Interpretable encoding of densities using possibilistic logic. Presented at: 22nd European Conference on Artificial Intelligence, The Hague, 29 August - 2 September 2016.
• De Clercq, S., Schockaert, S., De Cock, M. and Nowe, A. 2016. Solving stable matching problems using answer set programming. Theory and Practice of Logic Programming 16(3), pp. 247-268. (10.1017/S147106841600003X)
• Kuzelka, O., Davis, J. and Schockaert, S. 2016. Learning possibilistic logic theories from default rules. Presented at: 25th International Joint Conference on Artificial Intelligence, New York, NY, USA, 9-15 July 2016.
• Van Canneyt, S., Schockaert, S. and Dhoedt, B. 2016. Categorizing events using spatio-temporal and user features from Flickr. Information Sciences 328, pp. 76-96. (10.1016/j.ins.2015.08.032)
• Schockaert, S. and Jameel, S. 2016. Plausible reasoning based on qualitative entity embeddings. Presented at: 25th International Joint Conference on Artificial Intelligence, New York, USA, 9-15 July 2016.
• Long, Z., Schockaert, S. and Li, S. 2016. Encoding large RCC8 scenarios using rectangular pseudo-solutions. Presented at: 15th International Conference on Principles of Knowledge Representation and Reasoning, Cape Town, South Africa, 25-29 April 2015.
• Mushthofa, M., Schockaert, S. and Cock, M. D. 2016. Computing attractors of multi-valued gene regulatory networks using fuzzy answer set programming. Presented at: IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, 24-29 July 2016.
• Kuzelka, O., Davis, J. and Schockaert, S. 2016. Constructing Markov logic networks from first-order default rules. Presented at: 25th International Conference on Inductive Logic Programming, Kyoto, Japan, 20-22 August 2016.
• De Clercq, S., Schockaert, S., Nowé, A. and De Cock, M. 2016. Formalizing commitment-based deals in Boolean Games. Presented at: 22nd European Conference on Artificial Intelligence, The Hague, 29 August - 2 September 2016.
• Jameel, S., Liao, Y., Lam, W., Schockaert, S. and Xie, X. 2016. Exploring urban lifestyles using a nonparametric temporal graphical model. Presented at: ACM International Conference on the Theory of Information Retrieval, Newark, DE, USA, 13-16 September 2016.
• Ager, T., Kuzelka, O. and Schockaert, S. 2016. Inducing symbolic rules from entity embeddings using auto-encoders. Presented at: Eleventh International Workshop on Neural-Symbolic Learning and Reasoning, New York; NY, 16-17 July 2016.
• Merhej, E., Schockaert, S., McKelvey, T. G. and De Cock, M. 2016. Generating conflict-free treatments for patients with comorbidity using ASP. Presented at: International Joint Workshop KR4HC 2016 - ProHealth 2016, Munich, Germany, 2 September 2016.
• Long, Z., Duckham, M., Li, S. and Schockaert, S. 2016. Indexing large geographic datasets with compact qualitative representation. International Journal of Geographical Information Science 30(6), pp. 1072-1094.

2015

• Derrac, J. and Schockaert, S. 2015. Inducing semantic relations from conceptual spaces: a data-driven approach to plausible reasoning. Artificial Intelligence 228, pp. 66-94. (10.1016/j.artint.2015.07.002)
• Blondeel, M., Flaminio, T., Schockaert, S., Godo, L. and De Cock, M. 2015. On the relationship between fuzzy autoepistemic logic and fuzzy modal logics of belief. Fuzzy Sets and Systems 276, pp. 74-99. (10.1016/j.fss.2015.02.018)
• Merhej, E., Schockaert, S. and De Cock, M. 2015. Using rules of thumb for repairing inconsistent answer set programs. Presented at: SUM 2015: International Conference on Scalable Uncertainty Management, Quebec City, QC, Canada, 16-18 September 2015 Presented at Beierle, C. and Dekhtyar, A. eds.Scalable Uncertainty Management: 9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings, Vol. 9310. Springer Verlag pp. 368-381., (10.1007/978-3-319-23540-0_25)
• Mushthofa, M., Schockaert, S. and De Cock, M. 2015. Solving disjunctive fuzzy answer set programs. Presented at: LPNMR 2015: International Conference on Logic Programming and Nonmonotonic Reasoning, Lexington, KY, USA, 27-30 September 2015 Presented at Calimeri, F., Ianni, G. and Truszczynski, M. eds.Logic Programming and Nonmonotonic Reasoning: 13th International Conference, LPNMR 2015, Lexington, KY, USA, September 27-30, 2015. Proceedings, Vol. 9345. Lecture Notes in Computer Science Springer pp. 453-466., (10.1007/978-3-319-23264-5_38)
• Schockaert, S. and Li, S. 2015. Realizing RCC8 networks using convex regions. Artificial Intelligence 218, pp. 74-105. (10.1016/j.artint.2014.10.002)
• Bauters, K., Schockaert, S., De Cock, M. and Vermeir, D. 2015. Characterizing and extending answer set semantics using possibility theory. Theory and Practice of Logic Programming 15, pp. 79-116. (10.1017/S147106841300063X)
• Schockaert, S. and Derrac, J. 2015. Commonsense reasoning based on betweenness and direction in distributional models. Presented at: AAAI Spring Symposium on Knowledge Representation and Reasoning:Integrating Symbolic and Neural Approaches, Stanford University, 23 -25 March 2015.
• Schockaert, S. and Lee, J. H. 2015. Qualitative reasoning about directions in semantic spaces. Presented at: International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, 25 - 31 July 2015.
• De Clercq, S., Schockaert, S., Now, A. and De Cock, M. 2015. Multilateral negotiation in Boolean games with incomplete information using generalized possibilistic logic. Presented at: International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, 25 31 July 2015.
• Kuzelka, O., Davis, J. and Schockaert, S. 2015. Encoding Markov logic networks in possibilistic logic. Presented at: 31st Conference on Uncertainty in Artificial Intelligence, Amsterdam, 12-16 July 2015.
• Schockaert, S. 2015. Lexical inference as a spatial reasoning problem. Presented at: International Workshop on Spatio-Temporal Dynamics, Buenos Aires, Argentina, 26 July 2015.
• Dubois, D., Prade, H. and Schockaert, S. 2015. Extending answer set programming using generalized possibilistic logic. Presented at: International Workshop on Ontologies and Logic Programming for Query Answering, Buenos Aires, Argentina, 25 July 2015.
• Jameel, S., Lam, W., Schockaert, S. and Bing, L. 2015. A unified posterior regularized topic model with maximum margin for learning-to-rank. Presented at: CIKM 2015: Conference on Information and Knowledge Management, Melbourne, Australia, 19-23 October 2015CIKM '15 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. ACM pp. 103-112., (10.1145/2806416.2806482)

2014

• Blondeel, M., Schockaert, S., Vermeir, D. and De Cock, M. 2014. Complexity of fuzzy answer set programming under Lukasiewicz semantics. International Journal of Approximate Reasoning 55(9), pp. 1971-2003. (10.1016/j.ijar.2013.10.011)
• Van Laere, O., Schockaert, S., Tanasescu, V., Dhoedt, B. and Jones, C. B. 2014. Georeferencing Wikipedia documents using data from social media sources. ACM Transactions on Information Systems 32(3), article number: 12. (10.1145/2629685)
• Schockaert, S. and Prade, H. 2014. Completing symbolic rule bases using betweenness and analogical proportion. Studies in Computational Intelligence 548, pp. 195-215. (10.1007/978-3-642-54516-0_8)
• Blondeel, M., Schockaert, S., De Cock, M. and Vermeir, D. 2014. Fuzzy autoepistemic logic and its relation to fuzzy answer set programming. Fuzzy Sets and Systems 239, pp. 51-80. (10.1016/j.fss.2012.09.012)
• Van Laere, O., Quinn, J. A., Schockaert, S. and Dhoedt, B. 2014. Spatially aware term selection for geotagging. IEEE Transactions on Knowledge and Data Engineering 26(1), pp. 221-234. (10.1109/TKDE.2013.42)
• Bauters, K., Schockaert, S., De Cock, M. and Vermeir, D. 2014. Semantics for possibilistic answer set programs: Uncertain rules versus rules with uncertain conclusions. International Journal of Approximate Reasoning 55(2), pp. 739-761. (10.1016/j.ijar.2013.09.006)
• Derrac, J. and Schockaert, S. 2014. Enriching taxonomies of place types using Flickr. Presented at: FoIKS 2014: 8th International Symposium on Foundations of Information and Knowledge Systems, Bordeaux, France, 3-7 March 2014 Presented at Beierle, C. and Meghini, C. eds.Foundations of Information and Knowledge Systems: 8th International Symposium, FoIKS 2014, Bordeaux, France, March 3-7, 2014. Proceedings, Vol. 8367. Lecture Notes in Computer Science Springer Verlag pp. 174-192., (10.1007/978-3-319-04939-7_8)
• De Clercq, S., Bauters, K., Schockaert, S., Mihaylov, M., De Cock, M. and Nowe, A. 2014. Decentralized computation of pareto optimal pure nash equilibria of boolean games with privacy concerns. Presented at: International Conference on Agents and Artificial Intelligence (ICAART 2014), Angers, France, 6-8 March 2014 Presented at Duval, B. et al. eds.Issue Proceedings ICAART 2014, Vol. 2. pp. 50-59., (10.5220/0004811700500059)
• De Clercq, S., Schockaert, S., De Cock, M. and Nowé, A. 2014. Possibilistic Boolean games: strategic reasoning under incomplete information. Presented at: JELIA 2014: 14th European Conference on Logics in Artificial Intelligence, Funchal, Madeira, Portugal, 24-26 September 2014 Presented at Fermé, E. and Leite, J. eds.Logics in Artificial Intelligence: 14th European Conference, JELIA 2014, Funchal, Madeira, Portugal, September 24-26, 2014. Proceedings, Vol. 8761. Lecture Notes in Computer Science Springer pp. 196-209., (10.1007/978-3-319-11558-0_14)
• Derrac, J. and Schockaert, S. 2014. Characterising semantic relatedness using interpretable directions in conceptual spaces. Presented at: 2nd European Conference on Artificial Intelligence (ECAI), Prague, Czech Republic, 18-22 August 2014 Presented at Schaub, T., Friedrich, G. and O'Sullivan, B. eds.ECAI 2014: 21st European Conference on Artificial Intelligence, Vol. 263. Frontiers in Artificial Intelligence and Applications Amsterdam: IOS Press pp. 243-248., (10.3233/978-1-61499-419-0-243)
• Dubois, D., Prade, H. and Schockaert, S. 2014. Reasoning about uncertainty and explicit ignorance in generalized possibilistic logic. Presented at: 2nd European Conference on Artificial Intelligence (ECAI), Prague, Czech Republic, 18-22 August 2014 Presented at Schaub, T., Friedrich, G. and O'Sullivan, B. eds.ECAI 2014: 21st European Conference on Artificial Intelligence, Vol. 263. Frontiers in Artificial Intelligence and Applications Amsterdam: IOS Press pp. 261-266., (10.3233/978-1-61499-419-0-261)
• Mushthofa, M., Schockaert, S. and De Cock, M. 2014. A finite-valued solver for disjunctive fuzzy answer set programs. Presented at: ECAI, Prague, Czech Republic, 18-22 August 2014 Presented at Schaub, T., Friedrich, G. and O'Sullivan, B. eds.ECAI 2014: Frontiers in Artificial Intelligence and Applications, Vol. 263. IOP Publishing pp. 645-650., (10.3233/978-1-61499-419-0-645)
• De Clercq, S., Bauters, K., Schockaert, S., De Cock, M. and Nowe, A. 2014. Using answer set programming for solving boolean games. Presented at: 14th International conference on Principles of Knowledge Representation and Reasoning (KR-2014), Vienna, Austria, 20-24 July 2014 Presented at Baral, C., De Giacomo, G. and Eiter, T. eds.Principles of Knowledge Representation and Reasoning, 14th International conference, Proceedings.. AAAI pp. 602-605.
• Schockaert, S. and Li, S. 2014. Convex solutions of RCC8 networks. Presented at: 20th European Conference on Artificial Intelligence (ECAI 2012), Montpellier, France, 27-31 August 2012 Presented at De Raedt, L. et al. eds.Ecai 2012: 20th European Conference on Artificial Intelligence. Frontiers in Artificial Intelligence and Applications Vol. 242. IOS Press pp. 726-731., (10.3233/978-1-61499-098-7-726)
• Dubois, D., Prade, H. and Schockaert, S. 2014. Stable models in generalized possibilistic logic. Presented at: 13th International Conference on Principles of Knowledge Representation and Reasoning, Rome, Italy, 10-14 June 2012Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning. AAAI Press

2013

• Schockaert, S. and Prade, H. 2013. Interpolative and extrapolative reasoning in propositional theories using qualitative knowledge about conceptual spaces. Artificial Intelligence 202, pp. 86-131. (10.1016/j.artint.2013.07.001)
• Van Laere, O., Schockaert, S. and Dhoedt, B. 2013. Georeferencing Flickr resources based on textual meta-data. Information Sciences 238, pp. 52-74. (10.1016/j.ins.2013.02.045)
• Bauters, K., Schockaert, S., Janssen, J., Vermeir, D. and De Cock, M. 2013. Expressiveness of communication in answer set programming. Theory and Practice of Logic Programming 13(3), pp. 361-394. (10.1017/S1471068411000561)
• Martin, G. H., Schockaert, S., Cornelis, C. and Naessens, H. 2013. Using semi-structured data for assessing research paper similarity. Information Sciences 221, pp. 245-261. (10.1016/j.ins.2012.09.044)
• Van Canneyt, S., Schockaert, S. and Dhoedt, B. 2013. Discovering and characterizing places of interest using Flickr and Twitter. International Journal on Semantic Web and Information Systems 9(3), pp. 77-104. (10.4018/ijswis.2013070105)
• Martin, G. H., Schockaert, S., Cornelis, C. and Naessens, H. 2013. An exploratory study on content-based filtering of call for papers. Presented at: IRFC 2013: 6th Information Retrieval Facility Conference, Limassol, Cyprus, 7-9 October 2013 Presented at Lupu, M., Kanoulas, E. and Loizides, F. eds.Multidisciplinary Information Retrieval: 6th Information Retrieval Facility Conference, IRFC 2013, Limassol, Cyprus, October 7-9, 2013. Proceedings, Vol. 8201. Lecture Notes in Computer Science Berlin and Heidelberg: Springer pp. 58-69., (10.1007/978-3-642-41057-4_7)
• Schockaert, S. and Prade, H. 2013. Interpolative reasoning with default rules. Presented at: 23rd International Joint Conference on Artificial Intelligence (IJCAI-2013), Beijing, China, 3-9 August 2013Proceedings of The Twenty-Third International Joint Conference on Artificial Intelligence. Palo Alto, California: AAAI pp. 1090-1096.
• Schockaert, S. and Li, S. 2013. Combining RCC5 relations with betweenness information. Presented at: 23rd International Joint Conference on Artificial Intelligence (IJCAI-2013), Beijing, China, 3-9 August 2013 Presented at Rossi, F. and International Joint Conferences on Artificial Intelligence, . eds.Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Palo Alto, California: AAAI pp. 1083-1089.
• Blondeel, M., Schockaert, S., Vermeir, D. and De Cock, M. 2013. Towards a deeper understanding of nonmonotonic reasoning with degrees. Presented at: 23rd International Joint Conference on Artificial Intelligence (IJCAI-2013), Beijing, China, 3-9 August 2013Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Palo Alto, California: AAAI pp. 3205-3206.
• De Clercq, S., Schockaert, S., De Cock, M. and Nowé, A. 2013. Modeling stable matching problems with answer set programming. Presented at: 7th International Symposium, RuleML 2013, Seattle, USA, 11-13 July 2013 Presented at Morgenstern, L. et al. eds.Theory, Practice, and Applications of Rules on the Web: 7th International Symposium, RuleML 2013, Seattle, WA, USA, July 11-13, 2013. Proceedings, Vol. 8035. Lecture Notes in Computer Science Berlin: Springer pp. 68-83., (10.1007/978-3-642-39617-5_10)

2012

• Schockaert, S., Janssen, J. and Vermeir, D. 2012. Satisfiability checking in Łukasiewicz logic as finite constraint satisfaction. Journal of Automated Reasoning 49(4), pp. 493-550. (10.1007/s10817-011-9227-0)
• Janssen, J., Vermeir, D., Schockaert, S. and De Cock, M. 2012. Reducing fuzzy answer set programming to model finding in fuzzy logics. Theory and Practice of Logic Programming 12(6), pp. 811-842. (10.1017/S1471068411000093)
• Van Laere, O., Schockaert, S. and Dhoedt, B. 2012. Georeferencing Flickr photos using language models at different levels of granularity: An evidence based approach. Journal of Web Semantics 16, pp. 17-31. (10.1016/j.websem.2012.05.005)
• Schockaert, S., Janssen, J. and Vermeir, D. 2012. Fuzzy equilibrium logic. ACM Transactions on Computational Logic 13(4), article number: 33. (10.1145/2362355.2362361)
• Schockaert, S., Janssen, J. and Vermeir, D. 2012. Fuzzy equilibrium logic: declarative problem solving in continuous domains. ACM Transactions on Computational Logic 13(4), article number: 33.
• Janssen, J., Schockaert, S., Vermeir, D. and De Cock, M. 2012. A core language for fuzzy answer set programming. International Journal of Approximate Reasoning 53(4), pp. 660-692. (10.1016/j.ijar.2012.01.005)
• Dubois, D., Prade, H. and Schockaert, S. 2012. Règles et méta-règles en théorie des possibilités: De la logique possibiliste à la programmation par ensembles-réponses. Revue d'Intelligence Artificielle 26, pp. 63-83.
• Bauters, K., Schockaert, S., De Cock, M. and Vermeir, D. 2012. Possible and necessary answer sets of possibilistic answer set programs. 2012 IEEE 24TH International Conference on Tools with Artificial Intelligence (ICTAI 2012), vol. 1, pp. 836-843. (10.1109/ICTAI.2012.117)
• Van Canneyt, S., Van Laere, O., Schockaert, S. and Dhoedt, B. 2012. Using social media to find places of interest. Presented at: 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2012), Redondo Beach, CA, USA, 6-9 November 2012GEOCROWD '12 Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information. New York: ACM pp. 2-8., (10.1145/2442952.2442954)
• Van Canneyt, S., Schockaert, S., Van Laere, O. and Dhoedt, B. 2012. Detecting places of interest using social media. Presented at: 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT), Macau, China, 4-7 December 2012Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on, Vol. 1. IEEE pp. 447-451., (10.1109/WI-IAT.2012.19)

2011

• Janssen, J., Schockaert, S., Vermeir, D. and De Cock, M. 2011. Aggregated fuzzy answer set programming. Annals of Mathematics and Artificial Intelligence 63(2), pp. 103-147. (10.1007/s10472-011-9256-8)
• Schockaert, S. and Prade, H. 2011. Solving conflicts in information merging by a flexible interpretation of atomic propositions. Artificial Intelligence 175(11), pp. 1815-1855. (10.1016/j.artint.2011.04.001)
• Dubois, D., Prade, H. and Schockaert, S. 2011. Rules and meta-rules in the framework of possibility theory and possibilistic logic. Scientia Iranica 18(3), pp. 566-573. (10.1016/j.scient.2011.04.008)
• Schockaert, S., Smart, P. D. and Twaroch, F. 2011. Generating approximate region boundaries from heterogeneous spatial information: an evolutionary approach. Information Sciences 181(2), pp. 257-283. (10.1016/j.ins.2010.09.021)
• Prade, H. and Schockaert, S. 2011. Completing rule bases in symbolic domains by analogy making. Presented at: EUSFLAT-2011, Aix-Les-Bains, France, 18-22 July 2011 Presented at Galichet, S., Montero, J. and Mauris, G. eds.Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011) and LFA-2011, Vol. 1. Atlantis Press pp. 928-934., (doi:10.2991/eusflat.2011.76)
• Schockaert, S. and Prade, H. 2011. Qualitative reasoning about incomplete categorization rules based on interpolation and extrapolation in conceptual spaces. Lecture Notes in Computer Science 6929, pp. 303-316. (10.1007/978-3-642-23963-2_24)
• Bauters, K., Schockaert, S., Vermeir, D. and De Cock, M. 2011. Communicating ASP and the polynomial hierarchy. Presented at: LPNMR 2011: 11th International Conference on Logic Programming and Nonmonotonic Reasoning, Vancouver, BC, Canada, 16-19 May 2011 Presented at Delgrande, J. P. and Faber, W. eds.Logic Programming and Nonmonotonic Reasoning: 11th International Conference, LPNMR 2011, Vancouver, Canada, May 16-19, 2011. Proceedings, Vol. 6645. Lecture Notes in Computer Science Berlin and Heidelberg: Springer pp. 67-79., (10.1007/978-3-642-20895-9_8)
• Bauters, K., Schockaert, S., De Cock, M. and Vermeir, D. 2011. Weak and strong disjunction in possibilistic ASP. Presented at: SUM 2011: 5th International Conference on Scalable Uncertainty Management, Dayton, OH, USA, 10-13 October 2011 Presented at Benferhat, S. and Grant, J. eds.Scalable Uncertainty Management: 5th International Conference, SUM 2011, Dayton, OH, USA, October 10-13, 2011. Proceedings, Vol. 6929. Lecture Notes in Computer Science Berlin and Heidelberg: Springer pp. 475-488., (10.1007/978-3-642-23963-2_37)
• Schockaert, S. 2011. Vague regions in geographic information retrieval. SIGSPATIAL Special 3(2), pp. 24-28. (10.1145/2047296.2047302)

2010

• Schockaert, S., De Cock, M. and Kerre, E. E. 2010. Reasoning about fuzzy temporal information from the web: towards retrieval of historical events. Soft Computing 14(8), pp. 869-886. (10.1007/s00500-009-0471-8)
• Martin, G. H., Schockaert, S., Cornelis, C. and Naessens, H. 2010. Metadata impact on research paper similarity. Presented at: 14th ECDL Conference, Glasgow, Scotland, 6-10 September 2010 Presented at Lalmas, M. et al. eds.Research and Advanced Technology for Digital Libraries : 14th European Conference, ECDL 2010, Glasgow, UK, September 6-10, 2010, proceedings. Lecture Notes in Computer Science Vol. 6273. Berlin-Heidelberg: Springer-Verlag pp. 457-460., (10.1007/978-3-642-15464-5_56)
• Van Laere, O., Schockaert, S. and Dhoedt, B. 2010. Combining multi-resolution evidence for georeferencing Flickr images. Lecture Notes in Computer Science 6379, pp. 347-360. (10.1007/978-3-642-15951-0_32)

2009

• Schockaert, S., De Cock, M. and Kerre, E. E. 2009. Spatial reasoning in a fuzzy region connection calculus. Artificial Intelligence 173(2), pp. 258-298. (10.1016/j.artint.2008.10.009)
• Janssen, J., Schockaert, S., Vermeir, J. and De Cock, M. 2009. General fuzzy answer set programs. Lecture Notes in Computer Science 5571, pp. 352-359. (10.1007/978-3-642-02282-1_44)
• Schockaert, S. and De Cock, M. 2009. Efficient algorithms for fuzzy qualitative temporal reasoning. IEEE Transactions on Fuzzy Systems 17(4), pp. 794-808. (10.1109/TFUZZ.2008.924333)
• Schockaert, S., Janssen, J., Vermeir, D. and De Cok, M. 2009. Finite satisfiability in infinite-valued Lukasiewicz logic. Lecture Notes in Computer Science(5785), pp. 240-254. (10.1007/978-3-642-04388-8_19)
• Janssen, J., Schockaert, S., Vermeir, D. and De Cock, M. 2009. Fuzzy answer set programming with literal preferences. Presented at: 2009 International Fuzzy Systems Association World Congress, Lisbon, Portugal, 20-24 July 2009 Presented at Carvalho, J. P. et al. eds.Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009.. European Society for Fuzzy Logic and Technology pp. 1347-1352.
• Schockaert, S., Janssen, J., Vermeir, D. and De Cock, M. 2009. Answer sets in a fuzzy equilibrium logic. Lecture Notes in Computer Science(5837), pp. 135-149. (10.1007/978-3-642-05082-4_10)
• Schockaert, S. and Prade, H. 2009. Merging conflicting propositional knowledge by similarity. Presented at: 21st IEEE International Conference on Tools with Artificial Intelligence, Newark, NJ, USA, 2-5 November 2009ICTAI: 2009 21st International Conference on Tools with Artificial Intelligence, proceedings. IEEE pp. 224-228., (10.1109/ICTAI.2009.56)

2008

• Schockaert, S. and De Cock, M. 2008. Temporal reasoning about fuzzy intervals. Artificial Intelligence 172(8-9), pp. 1158-1193. (10.1016/j.artint.2008.01.001)
• Schockaert, S., De Cock, M., Cornelis, C. and Kerre, E. E. 2008. Fuzzy region connection calculus: an interpretation based on closeness. International Journal of Approximate Reasoning 48(1), pp. 332-347. (10.1016/j.ijar.2007.10.002)
• Schockaert, S., De Cock, M., Cornelis, C. and Kerre, E. E. 2008. Fuzzy region connection calculus: representing vague topological information. International Journal of Approximate Reasoning 48(1), pp. 314-331. (10.1016/j.ijar.2007.10.001)
• Schockaert, S., De Cock, M. and Kerre, E. E. 2008. Fuzzifying Allen's temporal interval relations. IEEE Transactions on Fuzzy Systems 16(2), pp. 517-533. (10.1109/TFUZZ.2007.895960)
• Schockaert, S., Smart, P. D., Abdelmoty, A. and Jones, C. B. 2008. Mining topological relations from the Web. Presented at: 28th International Workshop on Database and Expert Systems Applications, Turin, Italy, 1-5 September 2008 Presented at Tjoa, A. M. and Wagner, R. R. eds.DEXA 2008: 19th International Conference on Database and Expert Systems Applications : proceedings, 1-5 September, 2008, Turin, Italy. Los Alamitos, CA: IEEE Computer Society, pp. 652-656., (10.1109/DEXA.2008.15)
• Schockaert, S., De Cock, M. and Kerre, E. E. 2008. Location approximation for local search services using natural language hints. International Journal of Geographical Information Science 22(3), pp. 315-336.
• Schockaert, S., De Cock, M. and Kerre, E. E. 2008. Modelling nearness and cardinal directions between fuzzy regions. Presented at: IEEE International Conference on Fuzzy Systems, Hong Kong, China, 1-6 June 20082008 IEEE International Conference on Fuzzy Systems : Hong Kong, China, 1-6 June 2008. Piscataway, NJ: IEEE pp. 1548-1555., (10.1109/FUZZY.2008.4630578)

2007

• Schockaert, S., De Cock, M., Cornelis, C. and Kerre, E. E. 2007. Clustering web search results using fuzzy ants. International Journal of Intelligent Systems 22(5), pp. 455-474. (10.1002/int.20209)
• Schockaert, S., De Cock, M. and Kerre, E. E. 2007. Qualitative temporal reasoning about vague events. Presented at: Twentieth International Joint Conference on Artificial Intelligence (IJCAI), Hyderbad, India, 6-12 January 2007 Presented at Veloso, M. M. ed.Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI): Hyderbad, India, 6-12 January, 2007. AAAI Press pp. 569-574.

2006

• Schockaert, S., De Cock, M. and Kerre, E. E. 2006. Imprecise temporal interval relations. Presented at: 6th International Workshop on Fuzzy Logic and Applications, Crema, Italy, 15-17 September 2005 Presented at Bloch, I., Petrosino, A. and Tettamanzi, A. G. B. eds.Fuzzy logic and applications: 6th international workshop, WILF 2005, Crema, Italy, September 15-17, 2005, revised selected papers. Lecture Notes in Artificial Intelligence Vol. 3849. Springer pp. 108-113.
• Schockaert, S., Ahn, D., De Cock, M. and Kerre, E. E. 2006. Question answering with imperfect temporal information. Presented at: 7th International Conference on Flexible Query Answering Systems (FQAS 2006), Milan, Italy, 7-10 June 2006 Presented at Larsen, H. L. et al. eds.Flexible query answering systems: 7th international conference, FQAS 2006, Milan, Italy, June 7-10, 2006. Lecture Notes in Artificial Intelligence Vol. 4027. Berlin Heidelberg: Springer-Verlag pp. 647-658., (10.1007/11766254)
• Schockaert, S., De Cock, M. and Kerre, E. E. 2006. An efficient characterization of fuzzy temporal interval relations. Presented at: 2006 IEEE International Conference on Fuzzy Systems, Vancouver, CanadaProceedings of the IEEE World Congress on Computational Intelligence (FUZZ-IEEE). IEEE pp. 1894-1901., (10.1109/FUZZY.2006.1681963)
• Schockaert, S., Cornelis, C., De Cock, M. and Kerre, E. E. 2006. Fuzzy spatial relations between vague regions. Presented at: 3rd International IEEE Conference on Intelligent Systems, London, UK, September 2006Proceedings of the Third IEEE Conference on Intelligent Systems 2006. IEEE pp. 217-222., (10.1109/IS.2006.348421)

2005

• Schockaert, S., De Cock, M. and Kerre, E. E. 2005. Fuzzy constraint based answer validation. Presented at: Third International Atlantic Web Intelligence Conference (AWIC 2005), Lodz, Poland, 6-9 June 2005 Presented at Szczepaniak, P. S., Kacprzyk, J. and Niewiadomski, A. eds.Advances in Web Intelligence: proceedings of Third International Atlantic Web Intelligence Conference, AWIC 2005, Lodz, Poland, June 6-9, 2005.. Lecture Notes in Computer Science Vol. 3528. Berlin Heidelberg: Springer Verlag pp. 394-400., (10.1007/b137066)
• Schockaert, S., De Cock, M. and Kerre, E. E. 2005. Automatic acquisition of fuzzy footprints. Presented at: OTM 2005, Agia Napa, Cyprus, October 31 - November 4 2005 Presented at Tari, Z. ed.On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. Lecture Notes in Computer Science Vol. 3762. Springer pp. 1077-1086.
• Schockaert, S., De Cock, M. and Cornelis, C. 2005. Relatedness of fuzzy sets. Journal of Intelligent and Fuzzy Systems 16(4), pp. 297-303.

2004

• Schockaert, S., De Cock, M., Cornelis, C. and Kerre, E. E. 2004. Fuzzy ant based clustering. Presented at: 4th International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS 2004), Brussels, Belgium, 5-8 September 2004 Presented at Dorigo, M. et al. eds.Ant colony optimization and swarm intelligence: 4th international workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004, proceedings. Lecture Notes in Computer Science Vol. 3172. Springer pp. 342-349.
• Schockaert, S., De Cock, M., Cornelis, C. and Kerre, E. E. 2004. Efficient clustering with fuzzy ants. Presented at: 6th International FLINS Conference, Blankenberge, Belgium, 1-2 September 2004 Presented at Ruan, D. et al. eds.Applied computational intelligence: proceedings of the 6th international FLINS conference. World Scientific Publishing pp. 195-200.