Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Otmakhova, Yulia"'
Misinformation about climate change causes numerous negative impacts, necessitating corrective responses. Psychological research has offered various strategies for reducing the influence of climate misinformation, such as the fact-myth-fallacy-fact-s
Externí odkaz:
http://arxiv.org/abs/2407.05599
In this work, we measure the impact of affixal negation on modern English large language models (LLMs). In affixal negation, the negated meaning is expressed through a negative morpheme, which is potentially challenging for LLMs as their tokenizers a
Externí odkaz:
http://arxiv.org/abs/2404.02421
Autor:
Wang, Lucy Lu, Otmakhova, Yulia, DeYoung, Jay, Truong, Thinh Hung, Kuehl, Bailey E., Bransom, Erin, Wallace, Byron C.
Evaluating multi-document summarization (MDS) quality is difficult. This is especially true in the case of MDS for biomedical literature reviews, where models must synthesize contradicting evidence reported across different documents. Prior work has
Externí odkaz:
http://arxiv.org/abs/2305.13693
Autor:
Truong, Thinh Hung, Otmakhova, Yulia, Baldwin, Timothy, Cohn, Trevor, Lau, Jey Han, Verspoor, Karin
Negation is poorly captured by current language models, although the extent of this problem is not widely understood. We introduce a natural language inference (NLI) test suite to enable probing the capabilities of NLP methods, with the aim of unders
Externí odkaz:
http://arxiv.org/abs/2210.03256
Autor:
Otmakhova, Yulia, Truong, Hung Thinh, Baldwin, Timothy, Cohn, Trevor, Verspoor, Karin, Lau, Jey Han
In this paper we report on our submission to the Multidocument Summarisation for Literature Review (MSLR) shared task. Specifically, we adapt PRIMERA (Xiao et al., 2022) to the biomedical domain by placing global attention on important biomedical ent
Externí odkaz:
http://arxiv.org/abs/2209.08698
Autor:
Chen, Qingyu, Allot, Alexis, Leaman, Robert, Doğan, Rezarta Islamaj, Du, Jingcheng, Fang, Li, Wang, Kai, Xu, Shuo, Zhang, Yuefu, Bagherzadeh, Parsa, Bergler, Sabine, Bhatnagar, Aakash, Bhavsar, Nidhir, Chang, Yung-Chun, Lin, Sheng-Jie, Tang, Wentai, Zhang, Hongtong, Tavchioski, Ilija, Pollak, Senja, Tian, Shubo, Zhang, Jinfeng, Otmakhova, Yulia, Yepes, Antonio Jimeno, Dong, Hang, Wu, Honghan, Dufour, Richard, Labrak, Yanis, Chatterjee, Niladri, Tandon, Kushagri, Laleye, Fréjus, Rakotoson, Loïc, Chersoni, Emmanuele, Gu, Jinghang, Friedrich, Annemarie, Pujari, Subhash Chandra, Chizhikova, Mariia, Sivadasan, Naveen, Lu, Zhiyong
The COVID-19 pandemic has been severely impacting global society since December 2019. Massive research has been undertaken to understand the characteristics of the virus and design vaccines and drugs. The related findings have been reported in biomed
Externí odkaz:
http://arxiv.org/abs/2204.09781
Autor:
Truong, Thinh Hung, Otmakhova, Yulia, Mahendra, Rahmad, Baldwin, Timothy, Lau, Jey Han, Cohn, Trevor, Cavedon, Lawrence, Spina, Damiano, Verspoor, Karin
This paper describes the submissions of the Natural Language Processing (NLP) team from the Australian Research Council Industrial Transformation Training Centre (ITTC) for Cognitive Computing in Medical Technologies to the TREC 2021 Clinical Trials
Externí odkaz:
http://arxiv.org/abs/2202.07858
Autor:
Šuster, Simon, Verspoor, Karin, Baldwin, Timothy, Lau, Jey Han, Yepes, Antonio Jimeno, Martinez, David, Otmakhova, Yulia
The COVID-19 pandemic has driven ever-greater demand for tools which enable efficient exploration of biomedical literature. Although semi-structured information resulting from concept recognition and detection of the defining elements of clinical tri
Externí odkaz:
http://arxiv.org/abs/2105.12261
Autor:
Verspoor, Karin, Šuster, Simon, Otmakhova, Yulia, Mendis, Shevon, Zhai, Zenan, Fang, Biaoyan, Lau, Jey Han, Baldwin, Timothy, Yepes, Antonio Jimeno, Martinez, David
We present COVID-SEE, a system for medical literature discovery based on the concept of information exploration, which builds on several distinct text analysis and natural language processing methods to structure and organise information in publicati
Externí odkaz:
http://arxiv.org/abs/2008.07880
Publikováno v:
Экономика региона / Economy of Regions. 18(2):569-580
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1050494
