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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC 2021-09-16
10:00		 Online Online A causal relation extraction among distant texts using deep learning
Pengju Gao, Tomohiro Yamasaki, Masahiro Ito (TOSHIBA) NLC2021-8		 Most of the Existing methods for causal relationship extraction utilize patterns such as clue expressions, but it is dif... [more] NLC2021-8
pp.11-16
ET 2020-03-07
13:00		 Kagawa National Institute of Technology, Kagawa Collage
(Cancelled but technical report was issued)		 Visualization of Topics and Their Logical Structure Based on Readers’ Understanding for Editorial Reading Support System
Yuki Okaniwa, Tomoko Kojiri (Kansai Univ.) ET2019-90		 In order to understand the claims of the editorials, it is necessary to understand the topics and logical developments d... [more] ET2019-90
pp.81-86
ET 2016-03-05
11:10		 Kagawa Kawaga Univ. (Saiwai-cho Campus) Co-Occurrence Corpus Based on Parsing of Phrase Structure and Dependency Structure for Second Language Writing
Hou Riku, Yasuo Miyoshi (Kochi Univ.) ET2015-114		 In this research, the example sentences that match the intended want to tell at the time of the second language writing ... [more] ET2015-114
pp.115-118
NLC 2006-07-28
13:20		 Hokkaido Future University Hakodate Analysis on Manual Identification of Inter-sentential Discourse Relation
Manami Saito, Kazuhide Yamamoto (Nagaoka Univ. of Tech.), Satoshi Sekine (NYU) 		We aim to make a system which identifies a discourse relation between sentences automatically. We previously proposed a ... [more] NLC2006-12
pp.23-28
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