Professor Jose Camacho Collados

2024

• Myung, J. et al. 2024. BLEND: A benchmark for LLMs on everyday knowledge in diverse cultures and languages. Presented at: 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks, Vancouver, BC, Canada, 9-15 December 2024 Presented at Globerson, A. et al. eds.NeurIPS Proceedings: Advances in Neural Information Processing Systems, Vol. 37. Curran Associates, Inc. pp. 78104-78146.
• Antypas, D., Sen, I., Perez Almendros, C., Camacho Collados, J. and Barbieri, F. 2024. Sensitive content classification in social media: A holistic resource and evaluation. [Online]. arXiv. (10.48550/arXiv.2411.19832) Available at: https://doi.org/10.48550/arXiv.2411.19832
• Owen, D., Lynham, A. J., Smart, S. E., Pardiñas, A. F. and Camacho Collados, J. 2024. AI for analyzing mental health disorders among social media users: Quarter-century narrative review of progress and challenges. Journal of Medical Internet Research 26, article number: e59225. (10.2196/59225)
• Antypas, D., Arnold, C., Camacho Collados, J., Ousidhoum, N. and Perez Almendros, C. 2024. Words as trigger points in social media discussions. [Online]. arXiv. (10.48550/arXiv.2405.10213) Available at: https://doi.org/10.48550/arXiv.2405.10213
• Koch, E. et al. 2024. How real-world data can facilitate the development of precision medicine treatment in psychiatry. Biological Psychiatry 96(7), pp. 543-551. (10.1016/j.biopsych.2024.01.001)
• Grijalba, J. O., Lopez, L. A. U., Camacho-Collados, J. and Camara, E. M. 2024. Towards quality benchmarking in question answering over tabular data in Spanish. Procesamiento del Lenguaje Natural 73, pp. 283-296. (10.26342/2024-73-21)
• Rodríguez-Barroso, N., Cámara, E. M., Collados, J. C., Luzón, M. V. and Herrera, F. 2024. Federated learning for exploiting annotators? Disagreements in natural language processing. Transactions of the Association for Computational Linguistics 12, pp. 630–648. (10.1162/tacl_a_00664)
• Perez Almendros, C. and Camacho Collados, J. 2024. Do Large Language Models understand mansplaining? Well, actually... Presented at: LREC-COLING 2024 - The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, Torino, Itay, 20-25 May 2024 Presented at Calzolari, N. et al. eds.Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). ELRA and ICCL pp. 5235-5246.
• Antypas, D., Preece, A. and Camacho Collados, J. 2024. A multi-faceted NLP analysis of misinformation spreaders in Twitter. Presented at: 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, Bangkok, Thailand, 15 August 2024 Presented at De Clercq, O. et al. eds.Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Association for Computational Linguistics pp. 71-83.
• Lee, N., Jung, C., Myung, J., Jin, J., Camacho Collados, J., Kim, J. and Oh, A. 2024. Exploring cross-cultural differences in English hate speech annotations: From dataset construction to analysis. Presented at: 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Mexico City, Mexico, 16-21 June 2024 Presented at Duh, K., Gomez, H. and Bethard, S. eds.Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). pp. 4205-4224., (10.18653/v1/2024.naacl-long.236)
• 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), St Julian's, Malta, 17-22 March 2024Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics, Vol. 1. Association for Computational Linguistics pp. 2473-2486.

2023

• Boisson, J., Espinosa-Anke, L. and Camacho Collados, J. 2023. Construction artifacts in metaphor identification datasets. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing, 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. 6581–6590., (10.18653/v1/2023.emnlp-main.406)
• Zhou, Y., Camacho Collados, J. and Bollegala, D. 2023. A predictive factor analysis of social biases and task-performance in pretrained masked language models. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing, 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. 11082–11100., (10.18653/v1/2023.emnlp-main.683)
• Antypas, D. et al. 2023. SuperTweetEval: A challenging, unified and heterogeneous benchmark for social media NLP research. Presented at: The 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, 6 - 10 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. 12590-12697., (10.18653/v1/2023.findings-emnlp.838)
• Raganato, A., Calixto, I., Ushio, A., Camacho Collados, J. and Pilehvar, M. T. 2023. SemEval-2023 Task 1: Visual word sense disambiguation. Presented at: 17th International Workshop on Semantic Evaluation (SemEval-2023), Toronto, ON, Canada, 13-14 July 2023 Presented at Bouamar, H., Pino, J. and Bali, K. eds.Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023). Association for Computational Linguistics pp. 2227–2234., (10.18653/v1/2023.semeval-1.308)
• 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)
• Owen, D., Antypas, D., Hassoulas, A., Pardinas, A., Espinosa-Anke, L. and Camacho Collados, J. 2023. Enabling early health care intervention by detecting depression in users of web-based forums using Language models: longitudinal analysis and evaluation. JMIR AI 2, article number: e41205. (10.2196/41205)
• Antypas, D., Preece, A. and Camacho Collados, J. 2023. Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Social Media and Networks 33, article number: 100242. (10.1016/j.osnem.2023.100242)

2022

• Ushio, A., Alva Manchego, F. and Camacho Collados, J. 2022. Generative language models for paragraph-level question generation. Presented at: Conference on Empirical Methods in Natural Language Processing, Abu Dhabi, UAE, 7-11 December 2022 Presented at Goldberg, Y., Kozareva, Z. and Zhang, Y. eds.Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 670-688., (10.18653/v1/2022.emnlp-main.42)
• Loureiro, D., Mário Jorge, A. and Camacho-Collados, J. 2022. LMMS reloaded: Transformer-based sense embeddings for disambiguation and beyond. Artificial Intelligence 305, article number: 103661. (10.1016/j.artint.2022.103661)

2021

• Camacho Collados, J., Liberatore, F. and Ushio, A. 2021. Back to the basics: a quantitative analysis of statistical and graph-based term weighting schemes for keyword extraction. Presented at: EMNLP 2021 Conference, online and at Punta Cana, Dominican Republic, 7-11 November 2021Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 8089-8103.
• 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.
• 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.

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 Presented at Gonzalez-Hernandez, G. et al. eds.Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task. Association for Computational Linguistics pp. 82-89.
• Chiang, H., Camacho-Collados, J. and Pardos, Z. 2020. Understanding the source of semantic regularities in word embeddings. Presented at: SIGNLL Conference Computational Natural Language Learning (CoNLL 2020), Virtual, 19-20 November 2020Proceedings of the 24th Conference on Computational Natural Language Learning. Association for Computational Linguistics pp. 119-131.
• 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)
• 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.
• 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.
• 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.
• 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.
• 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. -.

2019

• Sinoara, R., Camacho Collados, J., Rossi, R., Navigli, R. and Rezende, S. 2019. Knowledge-enhanced document embeddings for text classification. Knowledge-Based Systems 163, pp. 955-971. (10.1016/j.knosys.2018.10.026)
• 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.
• 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.

2018

• Camacho Collados, J. and Pilehvar, M. T. 2018. From word to sense embeddings: a survey on vector representations of meaning. Journal of Artificial Intelligence Research 63, pp. 743-788. (10.1613/jair.1.11259)
• Barbieri, F. and Camacho-Collados, J. 2018. How Gender and Skin Tone Modifiers Affect Emoji Semantics in Twitter. Presented at: 7th Conference on Lexical and Computational Semantics (*SEM 2018), New Orleans, Louisiana, 5-6 June 2018Proceedings of the 7th Joint Conference on Lexical and Computational Semantics (*SEM). Stroudsburg, PA: The Association for Computational Linguistics pp. 101-106., (10.18653/v1/S18-2011)
• Quijano-Sánchez, L., Liberatore, F., Camacho Collados, J. and Camacho-Collados, M. 2018. Applying automatic text-based detection of deceptive language to police reports: Extracting behavioral patterns from a multi-step classification model to understand how we lie to the police. Knowledge-Based Systems 149, pp. 155-168. (10.1016/j.knosys.2018.03.010)

2017

• Mancini, M., Camacho Collados, J., Iacobacci, I. and Navigli, R. 2017. Embedding words and senses together via joint knowledge-enhanced training. Presented at: 21st Conference on Computational Natural Language Learning (CoNLL 2017), Vancouver, Canada, 3rd-4th August 2017Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017). Stroudsburg, PA: The Association for Computational Linguistics pp. 100-111., (10.18653/v1/K17-1012)
• Camacho Collados, J., Pilehvar, M. T., Collier, N. and Navigli, R. 2017. SemEval-2017 Task 2: Multilingual and cross-lingual semantic word similarity. Presented at: 11th International Workshop on Semantic Evaluations (SemEval-2017), Vancouver, Canada, 3rd-4th August 2017Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017). Stroudsburg, PA: The Association for Computational Linguistics pp. 15-26., (10.18653/v1/S17-2002)
• Delli Bovi, C., Camacho Collados, J., Raganato, A. and Navigli, R. 2017. EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text. Presented at: The 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, 30th July - 4th August 2017Proceedings of the the 55th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA: The Association for Computational Linguistics pp. 594-600., (10.18653/v1/P17-2094)
• Pilehvar, M. T., Camacho Collados, J., Navigli, R. and Collier, N. 2017. Towards a seamless integration of word senses into downstream NLP applications. Presented at: The 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, 30th July - 4th August 2017Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Stroudsburg, PA: The Association for Computational Linguistics pp. 1857-1869., (10.18653/v1/P17-1170)

2016

• Camacho Collados, J., Pilehvar, M. T. and Navigli, R. 2016. NASARI: integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities. Artificial Intelligence 240, pp. 36-64. (10.1016/j.artint.2016.07.005)
• Camacho Collados, J. and Navigli, R. 2016. Find the word that does not belong: a framework for an intrinsic evaluation of word vector representations. Presented at: 1st Workshop on Evaluating Vector Space Representations for NLP, Berlin, 12 August 2016Proceedings of the 1st Workshop on Evaluating Vector Space Representations for NLP. Stroudsburg, PA: The Association for Computational Linguistics pp. 43-50., (10.18653/v1/W16-2508)

2015

• Camacho Collados, J., Pilehvar, M. T. and Navigli, R. 2015. A framework for the construction of monolingual and cross-lingual word similarity datasets. Presented at: ACL-IJCNLP 2015: 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Beijing, China, 26-31 July 2015Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics pp. 1-7.
• Camacho Collados, J., Pilehvar, M. T. and Navigli, R. 2015. A unified multilingual semantic representation of concepts. Presented at: ACL-IJCNLP 2015, Beijing, China, 26-31 July 2015Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). pp. 741-751.
• Camacho Collados, J., Pilehvar, M. T. and Navigli, R. 2015. NASARI: A novel approach to a semantically-aware representation of items. Presented at: NAACL HLT 2015, Denver, CO, 31 May - 5 JuneProceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 567-577.

2014

• Billami, M., Camacho Collados, J., Jacquey, E. and Kister, L. 2014. Annotation sémantique et validation terminologique en texte intégral en SHS. Presented at: TALN 2014, Marseille, 1-4 July 2014Actes de la 21e conférence sur le Traitement Automatique des Langues Naturelles.
• Camacho Collados, J., Billami, M. B., Jacquey, E. and Kister, L. 2014. Approche statistique pour le filtrage terminologique des occurrences de candidats termes en texte intégral. Presented at: JADT 2014, Paris, 3-6 June 2014Proceedings of the 12th International Conference on the Statistical Analysis of Textual Data.

2013

• Camacho Collados, J. 2013. Splitting complex sentences for natural language processing applications: Building a simplified Spanish corpus. Procedia Social and Behavioral Sciences 95, pp. 464-472. (10.1016/j.sbspro.2013.10.670)
• Camacho Collados, J. 2013. Syntactic simplification for machine translation. BULAG: Bulletin de Linguistique Appliquée et Générale 38