Cripwell, L., Belz, A., Gardent, C., Gatt, A., Borg, C., Borg, M., Judge, J., Lorandi, M., Nikiforovskaya, A., & Soto Martinez, W. (2023). The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023). In Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023) (pp. 55-66). Association for Computational Linguistics. https://aclanthology.org/2023.mmnlg-1.6

Zonneveld, A., Gatt, A., & Calixto, I. (2023). Video-and-Language (VidL) models and their cognitive relevance. In What is next in Multimodal Foundational Models? Proceedings of the ICCV Workshop. https://openaccess.thecvf.com/content/ICCV2023W/MMFM/papers/Zonneveld_Video-and-Language_VidL_models_and_their_cognitive_relevance_ICCVW_2023_paper.pdf

Ito, T., Fang, Q., Mosteiro Romero, P., Gatt, A., & van Deemter, K. (2023). Challenges in Reproducing Human Evaluation Results for Role-Oriented Dialogue Summarization. In The 3rd Workshop on Human Evaluation of NLP Systems (HumEval’23) ACL Anthology. https://aclanthology.org/2023.humeval-1.9

Savary, A., Ben Khelil, C., Ramisch, C., Giouli, V., Barbu Mititelu, V., Hadj Mohamed, N., Krstev, C., Liebeskind, C., Xu, H., Stymne, S., Güngör, T., Pickard, T., Guillaume, B., Bejček, E., Bhatia, A., Candito, M., Gantar, P., Iñurrieta, U., Gatt, A., ... Walsh, A. (2023). PARSEME corpus release 1.3. In A. Bhatia, K. Evang, M. Garcia, V. Giouli, L. Han, & S. Taslimipoor (Eds.), 19th Workshop on Multiword Expressions, MWE 2023 - Proceedings (pp. 24-35). (19th Workshop on Multiword Expressions, MWE 2023 - Proceedings). Association for Computational Linguistics. https://aclanthology.org/2023.mwe-1.6
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Kilic, B., Bex, F., & Gatt, A. (2023). Contrast is all you need. In Proceedings of the Sixth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023) (Vol. 3441, pp. 72-82). (CEUR Workshop Proceedings). CEUR Workshop Proceedings. https://ceur-ws.org/Vol-3441/paper8.pdf

Van Zwol, BE., Langezaal, MA., Arts, LPA., Gatt, A., & Van den Broek, EL. (2023). Speech Emotion Recognition using Deep Convolutional Neural Networks improved by the fast Continuous Wavelet Transform. In G. Bekaroo, S. Ben Allouch, & M. Mecella (Eds.), Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023) (pp. 63-72). (Ambient Intelligence and Smart Environments; Vol. 32). IOS Press. https://doi.org/10.3233/AISE230012

Cafagna, M., van Deemter, K., & Gatt, A. (2023). HL Dataset: Grounding High-Level Linguistic Concepts in Vision. In Proceedings of the 16th International Natural Language Generation Conference (INLG'23) Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2302.12189

Calò, E., Levy, J., Gatt, A., & Van Deemter, K. (2023). Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation. In A. Palmer, & J. Camacho-collados (Eds.), StarSEM 2023 - 12th Joint Conference on Lexical and Computational Semantics, Proceedings of the Conference (pp. 180-192). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.starsem-1.17

Belz, A., Thomson, C., Reiter, E., Abercrombie, G., Alonso-Moral, J. M., Arvan, M., Cheung, J., Cieliebak, M., Clark, E., Deemter, K. V., Dinkar, T., Dušek, O., Eger, S., Fang, Q., Gatt, A., Gkatzia, D., González-Corbelle, J., Hovy, D., Hürlimann, M., ... Yang, D. (2023). Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. In The Fourth Workshop on Insights from Negative Results in NLP (pp. 1-10). Association for Computational Linguistics. https://aclanthology.org/2023.insights-1.1

Lang, I., van der Plas, L., Nissim, M., & Gatt, A. (2022). Visually grounded interpretation of noun-noun compounds in English. In Proceedings of the Workshop on Cognitive Modelling and Computational Linguistics (CMCL'22) (pp. 23–35). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.cmcl-1.3

Parcalabescu, L., Cafagna, M., Muradjan, L., Frank, A., Calixto, I., & Gatt, A. (2022). VALSE: A Task-independent benchmark for Vision and Language models centered on linguistic phenomena. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL'22) (pp. 8253–8280). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.acl-long.567

Cafagna, M., van Deemter, K., & Gatt, A. (2022). Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions. In Proceedings of the First Unimodal and Multimodal Induction of Linguistic Structures Workshop @ EMNLP (UM-IoS'22)

Micallef, K., Gatt, A., Tanti, M., van der Plas, L., & Borg, C. (2022). Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese. In Proceedings of the Third Workshop on Deep Learning for Low Resource NLP (DeepLo'22) (pp. 90-101). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.deeplo-1.10

Mariotti, E., ALonso-Moral, JM., & Gatt, A. (2022). Measuring Model Understandability by means of Shapley Additive Explanations. In Proceedings of the 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) IEEE. https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882773

Tanti, M., Abdilla, S., Muscat, A., Borg, C., Farrugia, RA., & Gatt, A. (2022). Face2Text revisited: Improved data set and baseline results. In Proceedings of the Second Workshop on People in Vision, Language and Mind @ LREC2022 (pp. 41-47). European Language Resources Association (ELRA). https://aclanthology.org/2022.pvlam-1.6
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Caló, E., van der Werf, E., Gatt, A., & van Deemter, K. (2022). Enhancing and Evaluating the Grammatical Framework Approach to Logic-to-Text Generation. In Proceedings of the 2nd Generation, Evaluation and Metrics Workshop (GEM'22) (pp. 148–171). ACL Anthology. https://doi.org/10.18653/v1/2022.gem-1.13

van Hofslot, M., Akdag Salah, A., Gatt, A., & Santos, S. (2022). Automatic classification of legal violations in cookie banner texts. In Proceedings of the Natural Legal Language Processing Workshop (NLLP'22)

Mariotti, E., Alonso-Moral, JM., & Gatt, A. (2021). Prometheus: Harnessing fuzzy logic and natural language for human-centric artificial intelligence. In XIX Conferencia de la Asociacion Espanola para la Inteligencia Artificial (CAEPIA)

Faille, J., Gatt, A., & Gardent, C. (2021). Entity-based semantic adequacy for data-to-text generation. In M.-F. Moens, X. Huang, L. Specia, & S. Wen-tau Yih (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2021 (pp. 1530-1540). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.findings-emnlp.132

Tanti, M., van der Plas, L., Borg, C., & Gatt, A. (2021). On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning. In J. Bastings, Y. Belinkov, E. Dupoux, M. Giulianelli, D. Hupkes, Y. Pinter, & H. Sajjad (Eds.), Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (pp. 214-227). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.blackboxnlp-1.15

Alonso, J. M., Barro, S., Bugarin, A., van Deemter, K., Gardent, C., Gatt, A., Reiter, E., Sierra, C., Theune, M., & Tintarev, N. (2020). Interactive natural language technology for explainable artificial intelligence. In International Workshop on the Foundations of Trustworthy AI Integrating Learning, Optimization and Reasoning (pp. 63-70)

Assimakopoulos, S., Vella Muskat, R., van der Plas, L., & Gatt, A. (2020). Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis. In Proceedings of the 12th edition of the Language Resources and Evaluation Conference (LREC'20) European Language Resources Association (ELRA).

de Mattei, L., Cafagna, M., Lai, H., Nissim, M., Dell'Orletta, F., & Gatt, A. (2020). On the interaction of automatic evaluation and task framing in headline style transfer. In Proceedings of the 1st Workshop on Evaluating NLG Evaluation (EvalNLGEval'20)

Bartl, M., Nissim, M., & Gatt, A. (2020). Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias. In Proceedings of the 2nd Workshop on Gender Bias in Natural Language Processing (GeBNLP 2020)

Ruggiero, G., Gatt, A., & Nissim, M. (2020). Datasets and Models for Authorship Attribution on Italian Personal Writings. In Proceedings of the 7th Italian Conference on Computational Linguistics (CLIC-it 2020)

van Miltenburg, E., Lu, W.-T., Krahmer, E., Gatt, A., Chen, G., & van Deemter, K. (2020). Gradations of error severity in automatic image description. In Proceedings of the 13th International Conference on Natural Language Genration (INLG'20)

Basile, A., Gatt, A., & Nissim, M. (2019). You Write Like You Eat: Stylistic variation as a predictor of social stratification. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL'19)

Jafaritazehjani, S., Gatt, A., & Tanti, M. (2019). Visually Grounded Generation of Entailments from Premises. In Proceedings of the 12th International Conference on Natural Language Generation (INLG'19)

Ravishankar, V., Tyers, F., & Gatt, A. (2017). A Morphological analyser for Maltese. In Proceedings of the 3rd International Conference on Arabic Computational Linguistics (ACLing'17)