Interactive Natural Language Technology for Explainable Artificial Intelligence

Rezultaty

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

Supervisory Board of the network
Recruitment strategy and call

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.

Publikacje

The Natural Language Pipeline, Neural Text Generation and Explainability

Autorzy: J. Faille, A. Gatt and C. Gardent
Opublikowane w: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020, Strona(/y) 16-21
Wydawca: Association for Computational Linguistics

Towards Generating Effective Explanations of Logical Formulas: Challenges and Strategies

Autorzy: A. Mayn (ESR4-UU), K. van Deemter
Opublikowane w: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020
Wydawca: Association for Computational Linguistics

Disentangling Web Search on Debated Topics: A User-Centered Exploration

Autorzy: Alisa Rieger, Suleiman Kulane, Ujwal Gadiraju, Maria Soledad Pera
Opublikowane w: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, Numer 4, 2024, Strona(/y) 24-35
Wydawca: ACM
DOI: 10.1145/3627043.3659559

Towards Harnessing Natural Language Generation to Explain Black-box Models

Autorzy: Ettore Mariotti, Jose M. Alonso, Albert Gatt
Opublikowane w: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020
Wydawca: Association for Computational Linguistics

Explaining Bayesian Networks in Natural Language: State of the Art and Challenges

Autorzy: Conor Hennessy, Alberto Bugarín, Ehud Reiter
Opublikowane w: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020
Wydawca: Association for Computational Linguistics

This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias

Autorzy: Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev
Opublikowane w: Proceedings of the 32st ACM Conference on Hypertext and Social Media, 2021, Strona(/y) 189-199, ISBN 9781450385510
Wydawca: ACM
DOI: 10.1145/3465336.3475101

Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks

Autorzy: Parcalabescu, Letitia; Gatt, Albert; Frank, Anette; Calixto, Iacer
Opublikowane w: Proceedings of Beyond Language: Multimodal Semantic Representations (MMSR'21), Numer 1, 2021
Wydawca: Association for Computational Linguistics

Explaining data using causal Bayesian networks

Autorzy: Jaime Sevilla
Opublikowane w: Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020, Strona(/y) 34-38
Wydawca: Assoication for Computational Linguistics

Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions

Autorzy: Michele Cafagna; Kees van Deemter; Albert Gatt
Opublikowane w: Proceedings of the Workshop on Unimodal and Multimodal Induction of Linguistic Structures (UM-IoS), Numer 10, 2022
Wydawca: 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

Autorzy: Eduardo Calò, Jordi Levy, Albert Gatt, Kees Van Deemter
Opublikowane w: Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023
Wydawca: ACL
DOI: 10.18653/v1/2023.starsem-1.17

Prometheus: Harnessing Fuzzy Logic and Natural Language for Human-centric Explainable Artificial Intelligence

Autorzy: Ettore Mariotti, Jose M. Alonso-Moral, Albert Gatt
Opublikowane w: XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA)-ESTYLF-CEDI 2021, 2021
Wydawca: XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA)-ESTYLF-CEDI 2021

Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems

Autorzy: Alisa Rieger, Mariet Theune, Nava Tintarev
Opublikowane w: NL4XAI 20202nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020
Wydawca: Association for Computational Linguistics (ACL)

A Framework for Analyzing Fairness, Accountability, Transparency and Ethics: A Use-case in Banking Services

Autorzy: Ettore Mariotti, Jose M. Alonso, Roberto Confalonieri
Opublikowane w: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021, Strona(/y) 1-6, ISBN 978-1-6654-4407-1
Wydawca: IEEE
DOI: 10.1109/fuzz45933.2021.9494481

Entity-Based Semantic Adequacy for Data-to-Text Generation

Autorzy: Juliette Faille, Albert Gatt and Claire Gardent
Opublikowane w: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, Strona(/y) 1530-1540
Wydawca: Association for Computational Linguistics

Enhancing and Evaluating the Grammatical Framework Approach to Logic-to-Text Generation

Autorzy: Eduardo Calò, Elze van der Werf, Albert Gatt, Kees van Deemter
Opublikowane w: Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM), 2022
Wydawca: ACL
DOI: 10.18653/v1/2022.gem-1.13

General Boolean Formula Minimization with QBF Solvers

Autorzy: Calò, Eduardo; Levy, Jordi
Opublikowane w: CCIA 2023, Numer 12, 2023
Wydawca: CCIA
DOI: 10.48550/arxiv.2303.06643

HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales

Autorzy: Michele Cafagna; Kees van Deemter; Albert Gatt
Opublikowane w: Proceedings of the 16th International Natural Language Generation Conference, Numer 12, 2023, Strona(/y) 293–312
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2023.inlg-main.21

A Confusion Matrix for Evaluating Feature Attribution Methods

Autorzy: Anna Arias-Duart; Ettore Mariotti; Dario Garcia-Gasulla; Jose Maria Alonso-Moral
Opublikowane w: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Wydawca: 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

Autorzy: Alisa Rieger; Frank Bredius; Nava Tintarev; Maria Soledad Pera
Opublikowane w: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Numer 11, 2023, ISBN 9781450394222
Wydawca: 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

Autorzy: Timothee Mickus, Eduardo Calò, Léo Jacqmin, Denis Paperno, Mathieu Constant
Opublikowane w: Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023
Wydawca: ACL
DOI: 10.18653/v1/2023.starsem-1.25

Argumentation Theoretical Frameworks for Explainable Artificial Intelligence

Autorzy: M. H. Demollin, Q. Shaheen, K. Budzynska, C. Sierra
Opublikowane w: Proc. of 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI2020), 2020
Wydawca: ACL Anthology

Exploring the balance between interpretability and performance with carefully designed constrainable Neural Additive Models

Autorzy: Ettore Mariotti; José María Alonso Moral; Albert Gatt
Opublikowane w: Information Fusion, Numer Volume 99, November 2023, 101882, 2023, ISSN 1566-2535
Wydawca: Elsevier BV
DOI: 10.1016/j.inffus.2023.101882

Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. Manipulation

Autorzy: Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev
Opublikowane w: ACM Transactions on the Web, Numer 18, 2024, Strona(/y) 1-27, ISSN 1559-1131
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3635034

Interpreting vision and language generative models with semantic visual priors

Autorzy: Michele Cafagna; Lina M. Rojas-Barahona; Kees van Deemter; Albert Gatt
Opublikowane w: Frontiers in Artificial Intelligence, Numer 6, 2023, ISSN 2624-8212
Wydawca: Frontiers in Artificial Intelligence
DOI: 10.3389/frai.2023.1220476

Recommender systems under European AI regulations

Autorzy: Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl
Opublikowane w: Communication of the ACM, 2022, ISSN 0001-0782
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3512728

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena

Autorzy: Parcalabescu, L; Cafagna, M; Muradjan, L; Frank, A; Calixto, I; Gatt, A; Afd Intelligent Software Systems; Sub Natural Language Processing; Natural Language Processing
Opublikowane w: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL'22). Association for Computational Linguistics, Numer 21, 2022, Strona(/y) 8253–8280
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2022.acl-long.567

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