Yulia Otmakhova

According to our database, Yulia Otmakhova authored at least 24 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments.

Matteo Guida, Yulia Otmakhova, Eduard H. Hovy, Lea Frermann

CoRR, July, 2025

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments.

Matteo Guida, Yulia Otmakhova, Eduard H. Hovy, Lea Frermann

CoRR, May, 2025

FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation.

Yulia Otmakhova, Hung-Thinh Truong, Rahmad Mahendra, Zenan Zhai, Rongxin Zhu, Daniel Beck, Jey Han Lau

CoRR, April, 2025

Narrative Media Framing in Political Discourse.

Yulia Otmakhova, Lea Frermann

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Generative Debunking of Climate Misinformation.

Francisco Zanartu, Yulia Otmakhova, John Cook, Lea Frermann

CoRR, 2024

Revisiting subword tokenization: A case study on affixal negation in large language models.

Thinh Hung Truong, Yulia Otmakhova, Karin Verspoor, Trevor Cohn, Timothy Baldwin

CoRR, 2024

Revisiting subword tokenization: A case study on affixal negation in large language models.

Thinh Truong, Yulia Otmakhova, Karin Verspoor, Trevor Cohn, Timothy Baldwin

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Media Framing: A typology and Survey of Computational Approaches Across Disciplines.

Yulia Otmakhova, Shima Khanehzar, Lea Frermann

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Multi-document Summarisation Supporting Clinical Evidence Review.

Yulia Otmakhova

PhD thesis, 2023

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations.

Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey Kuehl, Erin Bransom, Byron C. Wallace

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.

Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Dogan, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Zhiyong Lu

CoRR, 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.

Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Saipradeep Vg, Zhiyong Lu

Database J. Biol. Databases Curation, 2022

Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation.

Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Han Lau, Karin Verspoor

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

M3: Multi-level dataset for Multi-document summarisation of Medical studies.

Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Antonio Jimeno-Yepes, Jey Han Lau

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation.

Yulia Otmakhova, Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, Jey Han Lau

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature.

Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Jey Han Lau

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Impact of detecting clinical trial elements in exploration of COVID-19 literature.

Simon Suster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno-Yepes, David Martínez, Yulia Otmakhova

CoRR, 2021

ITTC @ TREC 2021 Clinical Trials Track.

Hung-Thinh Truong, Yulia Otmakhova, Timothy Baldwin, Jey Han Lau, Trevor Cohn, Karin Verspoor, Rahmad Mahendra, Lawrence Cavedon, Damiano Spina

Proceedings of the Thirtieth Text REtrieval Conference, 2021

Impact of detecting clinical trial elements in exploration of COVID-19 literature.

Simon Suster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno-Yepes, David Martinez Iraola, Yulia Otmakhova

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research.

Karin Verspoor, Simon Suster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno-Yepes, David Martínez

Proceedings of the Advances in Information Retrieval, 2021

2020

COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research.

Karin Verspoor, Simon Suster, Yulia Otmakhova, Shevon Mendis, Zenan Zhai, Biaoyan Fang, Jey Han Lau, Timothy Baldwin, Antonio Jimeno-Yepes, David Martínez

CoRR, 2020

Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration.

Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Simon Suster

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

2015

Do We Really Need Lexical Information? Towards a Top-down Approach to Sentiment Analysis of Product Reviews.

Yulia Otmakhova, Hyopil Shin

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2013

Applying Graph-based Keyword Extraction to Document Retrieval.

Youngsam Kim, Munhyong Kim, Andrew Cattle, Julia Otmakhova, Suzi Park, Hyopil Shin

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013