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pro vyhledávání: '"Jurczyk, Tomasz"'
This paper gives comprehensive analyses of corpora based on Wikipedia for several tasks in question answering. Four recent corpora are collected,WikiQA, SelQA, SQuAD, and InfoQA, and first analyzed intrinsically by contextual similarities, question t
Externí odkaz:
http://arxiv.org/abs/1801.02073
Autor:
Jurczyk, Tomasz, Choi, Jinho D.
This paper challenges a cross-genre document retrieval task, where the queries are in formal writing and the target documents are in conversational writing. In this task, a query, is a sentence extracted from either a summary or a plot of an episode
Externí odkaz:
http://arxiv.org/abs/1707.04538
Autor:
JURCZYK, TOMASZ1 tj.jurczyk@gmail.com, MAŁEK, KAROLINA2
Publikováno v:
Educational Psychology / Psychologia Wychowawcza. 2023, Vol. 70 Issue 28, p94-116. 23p.
This paper presents a new selection-based question answering dataset, SelQA. The dataset consists of questions generated through crowdsourcing and sentence length answers that are drawn from the ten most prevalent topics in the English Wikipedia. We
Externí odkaz:
http://arxiv.org/abs/1606.08513
Autor:
Jurczyk, Tomasz, Choi, Jinho D.
This paper presents a precursory yet novel approach to the question answering task using structural decomposition. Our system first generates linguistic structures such as syntactic and semantic trees from text, decomposes them into multiple fields,
Externí odkaz:
http://arxiv.org/abs/1604.00938
Akademický článek
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Autor:
GŁUT, BARBARA, JURCZYK, TOMASZ
Publikováno v:
Computer Science; 2019, Vol. 20 Issue 4, p495-511, 17p
Autor:
Jurczyk, Tomasz, Kołodziejczyk, Jakub, Komarnicka, Elżbieta, Polański, Tadeusz, Romaniuk, Jadwiga, Staromłyński, Jacek, Wojtanowicz-Stadler, Irena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3647::be359fab9f6f0496bcf753270bc4ee88
http://ruj.uj.edu.pl/xmlui/handle/item/1728
http://ruj.uj.edu.pl/xmlui/handle/item/1728