Pepa Kostadinova Atanasova
Postdoc
Natural Language Processing
Universitetsparken 1, 2100 København Ø
- 2022
- Published
Joint emotion label space modeling for affect lexica
De Bruyne, L., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, Jan 2022, In: Computer Speech and Language. 71, 20 p., 101257.Research output: Contribution to journal › Journal article › peer-review
- Published
- Published
Diagnostics-Guided Explanation Generation
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, p. 10445-10453.Research output: Contribution to journal › Conference article
- Published
Fact Checking with Insufficient Evidence
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 746-763Research output: Contribution to journal › Journal article › peer-review
- Published
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
Jolly, S., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2022, In: Information (Switzerland). 13, 10, p. 1-18 500.Research output: Contribution to journal › Journal article › peer-review
- 2021
- Published
Multi-Hop Fact Checking of Political Claims
Ostrowski, W., Arora, Arnav, Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, Vol. CoRR 2020. p. 3892-3898 (arXiv.org).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2020
- Published
A Diagnostic Study of Explainability Techniques for Text Classification
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 3256-3274Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Generating Fact Checking Explanations
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, : Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 7352-7364Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Generating Label Cohesive and Well-Formed Adversarial Claims
Atanasova, Pepa Kostadinova, Wright, Dustin & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 3168-3177Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2019
- Published
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search
Atanasova, Pepa Kostadinova, Karadzhov, G., Kiprov, Y., Nakov, P. & Sebastiani, F., 2019, IR: Research and Development in Information Retrieval. Association for Computing Machinery, p. 997-1000Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 214001842
Most downloads
-
42
downloads
A Diagnostic Study of Explainability Techniques for Text Classification
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
33
downloads
Generating Fact Checking Explanations
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
21
downloads
It takes nine to smell a rat: Neural multi-task learning for check-worthiness prediction
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published