Yulia Otmakhova

Affiliations:
  • The University of Melbourne, Melbourne, Australia


According to our database1, Yulia Otmakhova authored at least 15 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations.
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.
CoRR, 2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.
Database J. Biol. Databases Curation, 2022

Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation.
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.
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.
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.
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.
CoRR, 2021

ITTC @ TREC 2021 Clinical Trials Track.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

Impact of detecting clinical trial elements in exploration of COVID-19 literature.
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.
Proceedings of the Advances in Information Retrieval, 2021

2020
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research.
CoRR, 2020

Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration.
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.
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.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013


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