Risultati finali Documents, reports (4) Technical report on the state of the art in argumentation technology for XAI Technical report on the state of the art of argumentation technology for XAI manuscript coauthored by ESR7 and ESR8 Technical report on state of the art end-to-end NLG systems Technical report on state of the art endtoend NLG systems manuscript coauthored by ESR5 and ESR6 Technical report on state of the art XAI models Technical report on state of the art XAI models review manuscript coauthored by ESRs 14 Technical report on the state of the art in interactive interfaces for XAI Technical report on the state of the art in interactive interfaces for XAI manuscript coauthored by ESRs 911 Other (2) Supervisory Board of the network Recruitment strategy and call Websites, patent fillings, videos etc. (2) NL4XAI website and social media profiles available NL4XAI website and social media profiles available. Press release 1 to media Press release 1 to media at the Initial training meeting. Pubblicazioni Conference proceedings (20) The Natural Language Pipeline, Neural Text Generation and Explainability Autori: J. Faille, A. Gatt and C. Gardent Pubblicato in: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020, Page(s) 16-21 Editore: Association for Computational Linguistics Towards Generating Effective Explanations of Logical Formulas: Challenges and Strategies Autori: A. Mayn (ESR4-UU), K. van Deemter Pubblicato in: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020 Editore: Association for Computational Linguistics Towards Harnessing Natural Language Generation to Explain Black-box Models Autori: Ettore Mariotti, Jose M. Alonso, Albert Gatt Pubblicato in: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020 Editore: Association for Computational Linguistics Explaining Bayesian Networks in Natural Language: State of the Art and Challenges Autori: Conor Hennessy, Alberto Bugarín, Ehud Reiter Pubblicato in: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020 Editore: Association for Computational Linguistics This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias Autori: Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev Pubblicato in: Proceedings of the 32st ACM Conference on Hypertext and Social Media, 2021, Page(s) 189-199, ISBN 9781450385510 Editore: ACM DOI: 10.1145/3465336.3475101 Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks Autori: Parcalabescu, Letitia; Gatt, Albert; Frank, Anette; Calixto, Iacer Pubblicato in: Proceedings of Beyond Language: Multimodal Semantic Representations (MMSR'21), Issue 1, 2021 Editore: Association for Computational Linguistics Explaining data using causal Bayesian networks Autori: Jaime Sevilla Pubblicato in: Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020, Page(s) 34-38 Editore: Assoication for Computational Linguistics Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions Autori: Michele Cafagna; Kees van Deemter; Albert Gatt Pubblicato in: Proceedings of the Workshop on Unimodal and Multimodal Induction of Linguistic Structures (UM-IoS), Issue 10, 2022 Editore: Association for Computational Linguistics DOI: 10.18653/v1/2022.umios-1.6 Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation Autori: Eduardo Calò, Jordi Levy, Albert Gatt, Kees Van Deemter Pubblicato in: Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023 Editore: ACL DOI: 10.18653/v1/2023.starsem-1.17 Prometheus: Harnessing Fuzzy Logic and Natural Language for Human-centric Explainable Artificial Intelligence Autori: Ettore Mariotti, Jose M. Alonso-Moral, Albert Gatt Pubblicato in: XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA)-ESTYLF-CEDI 2021, 2021 Editore: XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA)-ESTYLF-CEDI 2021 Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems Autori: Alisa Rieger, Mariet Theune, Nava Tintarev Pubblicato in: NL4XAI 20202nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020 Editore: Association for Computational Linguistics (ACL) A Framework for Analyzing Fairness, Accountability, Transparency and Ethics: A Use-case in Banking Services Autori: Ettore Mariotti, Jose M. Alonso, Roberto Confalonieri Pubblicato in: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021, Page(s) 1-6, ISBN 978-1-6654-4407-1 Editore: IEEE DOI: 10.1109/fuzz45933.2021.9494481 Entity-Based Semantic Adequacy for Data-to-Text Generation Autori: Juliette Faille, Albert Gatt and Claire Gardent Pubblicato in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, Page(s) 1530-1540 Editore: Association for Computational Linguistics Enhancing and Evaluating the Grammatical Framework Approach to Logic-to-Text Generation Autori: Eduardo Calò, Elze van der Werf, Albert Gatt, Kees van Deemter Pubblicato in: Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM), 2022 Editore: ACL DOI: 10.18653/v1/2022.gem-1.13 General Boolean Formula Minimization with QBF Solvers Autori: Calò, Eduardo; Levy, Jordi Pubblicato in: CCIA 2023, Issue 12, 2023 Editore: CCIA DOI: 10.48550/arxiv.2303.06643 HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales Autori: Michele Cafagna; Kees van Deemter; Albert Gatt Pubblicato in: Proceedings of the 16th International Natural Language Generation Conference, Issue 12, 2023, Page(s) 293–312 Editore: Association for Computational Linguistics DOI: 10.18653/v1/2023.inlg-main.21 A Confusion Matrix for Evaluating Feature Attribution Methods Autori: Anna Arias-Duart; Ettore Mariotti; Dario Garcia-Gasulla; Jose Maria Alonso-Moral Pubblicato in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 Editore: IEEE DOI: 10.1109/cvprw59228.2023.00380 Searching for the Whole Truth: Harnessing the Power of Intellectual Humility to Boost Better Search on Debated Topics Autori: Alisa Rieger; Frank Bredius; Nava Tintarev; Maria Soledad Pera Pubblicato in: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Issue 11, 2023, ISBN 9781450394222 Editore: Association for Computing Machinery DOI: 10.1145/3544549.3585693 „Mann“ is to “Donna” as「国王」is to « Reine » Adapting the Analogy Task for Multilingual and Contextual Embeddings Autori: Timothee Mickus, Eduardo Calò, Léo Jacqmin, Denis Paperno, Mathieu Constant Pubblicato in: Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023 Editore: ACL DOI: 10.18653/v1/2023.starsem-1.25 Argumentation Theoretical Frameworks for Explainable Artificial Intelligence Autori: M. H. Demollin, Q. Shaheen, K. Budzynska, C. Sierra Pubblicato in: Proc. of 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI2020), 2020 Editore: ACL Anthology Peer reviewed articles (3) Exploring the balance between interpretability and performance with carefully designed constrainable Neural Additive Models Autori: Ettore Mariotti; José María Alonso Moral; Albert Gatt Pubblicato in: Information Fusion, Issue Volume 99, November 2023, 101882, 2023, ISSN 1566-2535 Editore: Elsevier BV DOI: 10.1016/j.inffus.2023.101882 Interpreting vision and language generative models with semantic visual priors Autori: Michele Cafagna; Lina M. Rojas-Barahona; Kees van Deemter; Albert Gatt Pubblicato in: Frontiers in Artificial Intelligence, Issue 6, 2023, ISSN 2624-8212 Editore: Frontiers in Artificial Intelligence DOI: 10.3389/frai.2023.1220476 Recommender systems under European AI regulations Autori: Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl Pubblicato in: Communication of the ACM, 2022, ISSN 0001-0782 Editore: Association for Computing Machinary, Inc. DOI: 10.1145/3512728 Other (1) "What Vision and Language models ""see"" when they see scenes." Autori: Michele Cafagna Kees van Deemter Albert Gatt Pubblicato in: ArXiv preprint (also under review for ACL 2022), Issue 2109.07301, 2021, Page(s) 12 Editore: NA Book chapters (1) VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena Autori: Parcalabescu, L; Cafagna, M; Muradjan, L; Frank, A; Calixto, I; Gatt, A; Afd Intelligent Software Systems; Sub Natural Language Processing; Natural Language Processing Pubblicato in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL'22). Association for Computational Linguistics, Issue 21, 2022, Page(s) 8253–8280 Editore: Association for Computational Linguistics DOI: 10.18653/v1/2022.acl-long.567 È in corso la ricerca di dati su OpenAIRE... Si è verificato un errore durante la ricerca dei dati su OpenAIRE Nessun risultato disponibile
