Sara Vera Marjanović, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein. From Internal Conflict to Contextual Adaptation of Language Models. In Findings of EMNLP 2024.
Jingyi Sun, Pepa Atanasova, Isabelle Augenstein. A Unified Framework for Input Feature Attribution Analysis. In arXiv.
Haeun Yu, Pepa Atanasova, Isabelle Augenstein. Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), August 2024.
Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein. Explaining Interactions Between Text Spans. In Proceedings of the 2023 Conference on Empirical Methods in Natural Langual Processing (EMNLP 2023), December 2023. [Code] [Dataset]
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein. Faithfulness Tests for Natural Language Explanations. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 2023. [Code]
Pepa Atanasova Accountable and Explainable Methods for Complex Reasoning over Text. Thesis presented to the University of Copenhagen Faculty of Science in fulfillment of the requirements for the degree of Doctor of Philosophy (Ph.D.), November 2022.
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein. Fact Checking with Insufficient Evidence. Transactions of the Association for Computational Linguistics (2022) (TACL-2022), July, 2022
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein. Diagnostics-Guided Explanation Generation. In Proceeding sof the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2022), February, 2022
Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein. Joint Emotion Label Space Modelling for Affect Lexica. Computer Speech & Language, (volume 71), January 2022
Shailza Jolly, Pepa Atanasova, and Isabelle Augenstein. Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. MDPI JOURNAL, Special Issue Advances in Explainable Artificial Intelligence, October 2022.
Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein. Multi-Hop Fact Checking of Political Claims. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), August 2021 [Dataset]
Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov. SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. Findings of the Association for Computational Linguistics (ACL-IJCNLP 2021), August 2021 [Dataset]
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein. A Diagnostic Study of Explainability Techniques for Text Classification. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 2020. [Video] [Code]
Pepa Atanasova*, Dustin Wright*, Isabelle Augenstein. Generating Label Cohesive and Well-Formed Adversarial Claims. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 2020. [Code]
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein. Generating Fact Checking Explanations. In Proceedings of 2020 Annual Conference of the Association for Computational Linguistics (ACL 2020), July 2020. [Video]
Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, Çağrı Çöltekin SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media. In Proceedings of the Fourteenth Workshop on Semantic Evaluation (SemEval 2020), December 2020.[Shared Task]
Pepa Atanasova, Preslav Nakov, Georgi Karadzhov, Mitra Mohtarami, Giovanni Da San Martino. Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 1: Check-Worthiness. In Conference and Labs of the Evaluation Forum (CLEF 2019), September 2019. [Shared Task, Dataset]
Slavena Vasileva, Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov. It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), September 2019.
Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James Glass. Automatic Fact-Checking Using Context and Discourse Information. In Journal of Data and Information Quality (JDIQ Vol 11, No. 3 2019), July 2019.
Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani. Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), July 2019.
Tsvetomila Mihaylova, Georgi Karadzhov, Pepa Atanasova, Ramy Baly, Mitra Mohtarami, Preslav Nakov. SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. In Proceedings of the Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval 2019), July 2019.
Pepa Atanasova, Preslav Nakov, Georgi Karadzhov, Mitra Mohtarami, Giovanni Da San Martino. Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness. In Conference and Labs of the Evaluation Forum (CLEF 2018), September 2018. [Shared Task, Dataset]
Israa Jaradat, Pepa Atanasova, Alberto Barrón-Cedeño, Lluís Màrquez, Preslav Nakov. ClaimRank: Detecting Check-Worthy Claims in Arabic and English. Task 1: Check-Worthiness. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations (NAACL 2018), June 2018.
Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Ivan Koychev. A Context-aware Approach for Detecting Worth-checking Claims in Political Debates. In Proceedings of the International Conference Recent Advances in Natural Language Processing, (RANLP 2017), August 2017.
Georgi Karadzhov, Pepa Gencheva, Preslav Nakov, Ivan Koychev. We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind!. In Proceedings of the International Conference Recent Advances in Natural Language Processing, (RANLP 2017), August 2017. The paper describes our system that won the first place at a hackathon “Hack the Fake News”.
Venelin Kovatchev, Irina Temnikova, Pepa Atanasova, Yasen Kiprov, Ivelina Nikolova. Proceedings of the Student Research Workshop Associated with RANLP 2017 . In Proceedings of the International Conference Recent Advances in Natural Language Processing, (RANLP 2017), August 2017.
Yasen Kiprov, Pepa Atanasova, Ivan Koychev. Generating labeled datasets of twitter users. In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, (UMAP 2017), August 2017.
Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev. bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 2023. [Benchmark]
Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova. SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering. In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) (SemEval 2016), June 2016. First Place.