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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 The Value of an In-Domain Lexicon in Genomics QA Qa. J Bioinform Comput Biol; Yutaka Sasaki; Sophia Ananiadou... In: https://www.researchgate.net/profile/Yutaka_Sasaki4/publication/41564087_The_value_of_an_in-domain_lexicon_in_genomics_QA/links/00463533216bedf3e3000000.pdf?origin%3Dpublication_detail (2010) BASE Show details 2 The Value of an In-Domain Lexicon in Genomics QA Qa. J Bioinform Comput Biol; Yutaka Sasaki; Sophia Ananiadou... In: https://www.researchgate.net/profile/Yutaka_Sasaki4/publication/41564087_The_value_of_an_in-domain_lexicon_in_genomics_QA/links/00463533216bedf3e3000000.pdf (2010) BASE Show details 3 BioLexicon: A Lexical Resource for the Biology Domain Yutaka Sasaki; Simonetta Montemagni; Piotr Pezik... In: http://mars.cs.utu.fi/smbm2008/files/smbm2008proceedings/smbmpaper_23.pdf (2008) BASE Show details 4 Event frame extraction based on a gene regulation corpus Yutaka Sasaki; Paul Thompson; Philip Cotter... In: http://www.aclweb.org/anthology/C/C08/C08-1096.pdf (2008) BASE Show details 5 Question Answering As Question-Biased Term Extraction: a New Approach Toward Multilingual Yutaka Sasaki In: http://acl.ldc.upenn.edu/P/P05/P05-1027.pdf (2005) Abstract: This paper regards Question Answering (QA) as Question-Biased Term Extraction (QBTE). This new QBTE approach liberates QA systems from the heavy burden imposed by question types (or answer types). In conventional approaches, a QA system analyzes a given question and determines the question type, and then it selects answers from among answer candidates that match the question type. Consequently, the output of a QA system is restricted by the design of the question types. The QBTE directly extracts answers as terms biased by the question. To confirm the feasibility of our QBTE approach, we conducted experiments on the CRL QA Data based on 10-fold cross validation, using Maximum Entropy Models (MEMs) as an ML technique. Experimental results showed that the trained system achieved 0.36 in MRR and 0.47 in Top5 accuracy. 1 URL: http://acl.ldc.upenn.edu/P/P05/P05-1027.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.6803 BASE Hide details 6 Contextdependent SMT model using bilingual verb-noun collocation Young-sook Hwang; Yutaka Sasaki In: http://acl.ldc.upenn.edu/P/P05/P05-1068.pdf (2005) BASE Show details 7 Empirical Study of Utilizing Morph-Syntactic Information in SMT Young-sook Hwang; Taro Watanabe; Yutaka Sasaki In: http://wing.comp.nus.edu.sg/~antho/I/I05/I05-1042.pdf BASE Show details 8 RESEARCH ARTICLE The BioLexicon: a large-scale terminological resource for biomedical text mining Open Access Paul Thompson; John Mcnaught; Simonetta Montemagni... In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/04/e4/BMC_Bioinformatics_2011_Oct_12_12_397.tar.gz BASE Show details 9 RESEARCH ARTICLE The BioLexicon: a large-scale terminological resource for biomedical text mining Open Access Paul Thompson; John Mcnaught; Simonetta Montemagni... In: http://www.biomedcentral.com/content/pdf/1471-2105-12-397.pdf BASE Show details 10 Soraku-gun Kyoto Young-sook Hwang; Kyonghee Paik; Yutaka Sasaki In: http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/566/1/oral-10.pdf BASE Show details

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