Dr Luis Espinosa Anke

2023

• Owen, D., Antypas, D., Hassoulas, A., Pardinas, A., Espinosa-Anke, L. and Camacho Collados, J. 2023. Detecting depression in users of online forums: enabling early healthcare intervention using language models. JMIR AI

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)
• 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.

2021

• Doval, Y., Camacho Collados, J., Espinosa-Anke, L. and Schockaert, S. 2021. Meemi: a simple method for post-processing and integrating cross-lingual word embeddings. Natural Language Engineering (10.1017/S1351324921000280)
• 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)
• Espinosa-Anke, L., Palmer, G., Filimonov, M., Corcoran, P., Spasic, I. and Knight, D. 2021. English–Welsh cross-lingual embeddings. Applied Sciences 11(14), article number: 6541. (10.3390/app11146541)
• Davies, C. et al. 2021. Multi-scale user migration on Reddit. Presented at: Workshop on Cyber Social Threats at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021), Virtual, 07 June 2021. AAAI, (10.36190/2021.13)
• 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.
• 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.

2020

• Perez 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 2020Proceedings of the 28th International Conference on Computational Linguistics. Barcelona, Spain: International Committee on Computational Linguistics pp. 5891–5902., (10.18653/v1/2020.coling-main.518)
• 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.
• 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.
• Owen, D., Camacho Collados, J. and Espinosa-Anke, L. 2020. Towards preemptive detection of depression and anxiety in Twitter. Presented at: Social Media Mining for Health Applications Workshop & Shared Task 2020, Barcelona, Spain, 8-13 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.
• 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.
• Espinosa-Anke, L., Martin-Vide, C. and Spasic, I. eds. 2020. Statistical language and speech processing: 8th International Conference, SLSP 2020, Cardiff, UK, October 14–16, 2020. Springer.
• Tuxworth, D., Antypas, D., Espinosa-Anke, L., Camacho-Collados, J., Preece, A. and Rogers, D. 2020. Deriving disinformation insights from geolocalized Twitter callouts. Presented at: Workshop On Deriving Insights From User-Generated Text @KDD2021, 14 -18 August 2021.

2019

• 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.
• 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.
• 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.

2018

• 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.
• 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.

2016

• Oramas, S., Espinosa-Anke, L., Sordo, M., Saggion, H. and Serra, X. 2016. Information extraction for knowledge base construction in the music domain. Data and Knowledge Engineering 106, pp. 70-83., article number: 6. (10.1016/j.datak.2016.06.001)
• Espinosa-Anke, L., Saggion, H., Ronzano, F. and Navigli, R. 2016. ExTaSem! Extending, taxonomizing and semantifying domain terminologies. Presented at: Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, AZ, USA, 12-17 February 2016Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. AAAI pp. 2594-2600.
• Espinosa-Anke, L., Camacho-Collados, J., Delli Bovi, C. and Saggion, H. 2016. Supervised distributional hypernym discovery via domain adaptation. Presented at: EMNLP2016: Conference on Empirical Methods in Natural Language Processing, Austin, TX, USA, 1-5 November 2016Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 424-435., (10.18653/v1/D16-1041)