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pro vyhledávání: '"Majewska, Olga"'
Multilingual task-oriented dialogue (ToD) facilitates access to services and information for many (communities of) speakers. Nevertheless, the potential of this technology is not fully realised, as current datasets for multilingual ToD - both for mod
Externí odkaz:
http://arxiv.org/abs/2201.13405
Autor:
Razumovskaia, Evgeniia, Glavaš, Goran, Majewska, Olga, Ponti, Edoardo M., Korhonen, Anna, Vulić, Ivan
In task-oriented dialogue (ToD), a user holds a conversation with an artificial agent to complete a concrete task. Although this technology represents one of the central objectives of AI and has been the focus of ever more intense research and develo
Externí odkaz:
http://arxiv.org/abs/2104.08570
Publikováno v:
Proceedings of ACL-IJCNLP 2021 Volume 1 Long Papers 6952-6969
In parallel to their overwhelming success across NLP tasks, language ability of deep Transformer networks, pretrained via language modeling (LM) objectives has undergone extensive scrutiny. While probing revealed that these models encode a range of s
Externí odkaz:
http://arxiv.org/abs/2012.15421
Autor:
Lauscher, Anne, Majewska, Olga, Ribeiro, Leonardo F. R., Gurevych, Iryna, Rozanov, Nikolai, Glavaš, Goran
Following the major success of neural language models (LMs) such as BERT or GPT-2 on a variety of language understanding tasks, recent work focused on injecting (structured) knowledge from external resources into these models. While on the one hand,
Externí odkaz:
http://arxiv.org/abs/2005.11787
Autor:
Ponti, Edoardo Maria, Glavaš, Goran, Majewska, Olga, Liu, Qianchu, Vulić, Ivan, Korhonen, Anna
In order to simulate human language capacity, natural language processing systems must be able to reason about the dynamics of everyday situations, including their possible causes and effects. Moreover, they should be able to generalise the acquired
Externí odkaz:
http://arxiv.org/abs/2005.00333
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
Autor:
Vulić, Ivan, Baker, Simon, Ponti, Edoardo Maria, Petti, Ulla, Leviant, Ira, Wing, Kelly, Majewska, Olga, Bar, Eden, Malone, Matt, Poibeau, Thierry, Reichart, Roi, Korhonen, Anna
We introduce Multi-SimLex, a large-scale lexical resource and evaluation benchmark covering datasets for 12 typologically diverse languages, including major languages (e.g., Mandarin Chinese, Spanish, Russian) as well as less-resourced ones (e.g., We
Externí odkaz:
http://arxiv.org/abs/2003.04866
Autor:
Majewska, Olga, Vulić, Ivan, McCarthy, Diana, Huang, Yan, Murakami, Akira, Laippala, Veronika, Korhonen, Anna
Publikováno v:
Language Resources and Evaluation, 2018 Jul 01. 52(3), 771-799.
Externí odkaz:
https://www.jstor.org/stable/26649680
Autor:
Majewska, Olga1 (AUTHOR) om304@cam.ac.uk, Collins, Charlotte1 (AUTHOR), Baker, Simon1 (AUTHOR), Björne, Jari2 (AUTHOR), Brown, Susan Windisch3 (AUTHOR), Korhonen, Anna1 (AUTHOR), Palmer, Martha3 (AUTHOR)
Publikováno v:
Journal of Biomedical Semantics. 7/15/2021, Vol. 12 Issue 1, p1-13. 13p.
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