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Interactive Natural Language Technology for Explainable Artificial Intelligence

Deliverables

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

Supervisory Board of the network

Recruitment strategy and call

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.

Searching for OpenAIRE data...

Publications

The Natural Language Pipeline, Neural Text Generation and Explainability

Author(s): J. Faille, A. Gatt and C. Gardent
Published in: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020, Page(s) 16-21
Publisher: Association for Computational Linguistics

Towards Generating Effective Explanations of Logical Formulas: Challenges and Strategies

Author(s): A. Mayn (ESR4-UU), K. van Deemter
Published in: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020
Publisher: Association for Computational Linguistics

Towards Harnessing Natural Language Generation to Explain Black-box Models

Author(s): Ettore Mariotti, Jose M. Alonso, Albert Gatt
Published in: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020
Publisher: Association for Computational Linguistics

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

Author(s): Conor Hennessy, Alberto Bugarín, Ehud Reiter
Published in: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020
Publisher: Association for Computational Linguistics

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

Author(s): Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev
Published in: Proceedings of the 32st ACM Conference on Hypertext and Social Media, 2021, Page(s) 189-199, ISBN 9781450385510
Publisher: ACM
DOI: 10.1145/3465336.3475101

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

Author(s): Parcalabescu, Letitia; Gatt, Albert; Frank, Anette; Calixto, Iacer
Published in: Proceedings of Beyond Language: Multimodal Semantic Representations (MMSR'21), 1, 2021
Publisher: Association for Computational Linguistics

Explaining data using causal Bayesian networks

Author(s): Jaime Sevilla
Published in: Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020, Page(s) 34-38
Publisher: Assoication for Computational Linguistics

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

Author(s): Ettore Mariotti, Jose M. Alonso-Moral, Albert Gatt
Published in: XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA)-ESTYLF-CEDI 2021, 2021
Publisher: XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA)-ESTYLF-CEDI 2021

Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems

Author(s): Alisa Rieger, Mariet Theune, Nava Tintarev
Published in: NL4XAI 20202nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020
Publisher: Association for Computational Linguistics (ACL)

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

Author(s): Ettore Mariotti, Jose M. Alonso, Roberto Confalonieri
Published in: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021, Page(s) 1-6, ISBN 978-1-6654-4407-1
Publisher: IEEE
DOI: 10.1109/fuzz45933.2021.9494481

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

Author(s): Juliette Faille, Albert Gatt and Claire Gardent
Published in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, Page(s) 1530-1540
Publisher: Association for Computational Linguistics

Argumentation Theoretical Frameworks for Explainable Artificial Intelligence

Author(s): M. H. Demollin, Q. Shaheen, K. Budzynska, C. Sierra
Published in: Proc. of 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI2020), 2020
Publisher: ACL Anthology

"What Vision and Language models ""see"" when they see scenes."

Author(s): Michele Cafagna Kees van Deemter Albert Gatt
Published in: ArXiv preprint (also under review for ACL 2022), 2109.07301, 2021, Page(s) 12
Publisher: NA

Recommender systems under European AI regulations

Author(s): Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl
Published in: Communication of the ACM, 2022, ISSN 0001-0782
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3512728