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Technical Committee on Natural Language Understanding and Models of Communication (NLC)  (Searched in: 2018)

Search Results: Keywords 'from:2018-09-06 to:2018-09-06'
[Go to Official NLC Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 20  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC, IPSJ-DC 2018-09-06
10:10		 Tokyo Seikei University An Evaluation Method for Estimating the Degree of Difficulty to Extract Writer's Emotion based on Response Time in Annotating Emotion
Sanae Yamashita, Yasushi Kami (NIT, Akashi College), Eri Kato, Takeshi Sakai, Noriyuki Okumura (Otemae Univ.) NLC2018-9		 This research examines the degree of difficulty in estimating emotions in Japanese short sentences based on the response... [more] NLC2018-9
pp.1-6
NLC, IPSJ-DC 2018-09-06
10:35		 Tokyo Seikei University Target Detection for Sarcasm Identification
Satoshi Hiai, Kazutaka Shimada (Kyutech) NLC2018-10		 Sarcasm identification has been treated as a task that classifies text as sarcastic or non-sarcastic. Sarcasm identifica... [more] NLC2018-10
pp.7-11
NLC, IPSJ-DC 2018-09-06
11:00		 Tokyo Seikei University NLC2018-11 Human beings have lost their philosophy and transformed themselves into overdependence due to science and technology. Dr... [more] NLC2018-11
pp.13-18
NLC, IPSJ-DC 2018-09-06
13:10		 Tokyo Seikei University A Consideration on Analysis of Interaction Analysis Using Japanese Learner's Conversation Database and Analysis of Dialogue collapse -- Toward detection of dialog crash and application to dialog system --
Hiromitsu Ota (OUJ) NLC2018-12		 Recently, the introduction of chat bots to enterprises has become popular instead of human beings. However, although dee... [more] NLC2018-12
pp.19-24
NLC, IPSJ-DC 2018-09-06
13:35		 Tokyo Seikei University Text analytics, sound analytics, cognitive science and search engine
Tabuchi, Ryuji (Mint PhEdIns) NLC2018-13		 (Advance abstract in Japanese is available) [more] NLC2018-13
pp.25-30
NLC, IPSJ-DC 2018-09-06
14:00		 Tokyo Seikei University A Hybrid Text/Data Analytics for Insight Marketing
Makoto Ichise (NTT DOCOMO) NLC2018-14		 This research presentation is the most important content to utilize the value at voice of customer's(VoC).
We just doin... [more]		 NLC2018-14
pp.31-36
NLC, IPSJ-DC 2018-09-06
14:50		 Tokyo Seikei University [Invited Talk] Lawyers and Language Processing Technology -- The Future and Perspective of Corporate Legal Affairs that LegalForce Aims for --
Ruka Funaki (LegalForce) NLC2018-15		 (Advance abstract in Japanese is available) [more] NLC2018-15
p.37
NLC, IPSJ-DC 2018-09-06
15:40		 Tokyo Seikei University [Invited Talk] Analytics of analyst reports using natural language processing technology and machine learning
Kenji Hiramatsu (IFIS) NLC2018-16		 (Advance abstract in Japanese is available) [more] NLC2018-16
p.39
NLC, IPSJ-DC 2018-09-06
16:30		 Tokyo Seikei University Analysis of Relation Factors among Nations using News Articles
Ryota Ikushima, Takeru Yokoi (TMCIT) NLC2018-17		 (Advance abstract in Japanese is available) [more] NLC2018-17
pp.41-46
NLC, IPSJ-DC 2018-09-06
16:55		 Tokyo Seikei University Word Sense Disambiguation Incorporating Auxiliary Context for Short Sentences
Minoru Sasaki (Ibaraki Univ.) NLC2018-18		 In this paper, I propose a Word Sense Disambiguation (WSD) method by using supplemental context for short examples. In t... [more] NLC2018-18
pp.47-50
NLC, IPSJ-DC 2018-09-06
17:20		 Tokyo Seikei University Latent co-occurrence words graph extraction using sparse structure estimation -- Comparison of word vectors between topic model and distributed representation --
Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19		 We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more] NLC2018-19
pp.51-56
NLC, IPSJ-DC 2018-09-07
13:10		 Tokyo Seikei University Short text categorization with fine-tuning
Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto (Univ of Yamanashi) NLC2018-20		 We propose an approach for multi-label categorization of short texts and explore the use of a hierarchical structure (HS... [more] NLC2018-20
pp.73-78
NLC, IPSJ-DC 2018-09-07
13:35		 Tokyo Seikei University Investigation of Features focusing on Interpretation for Metrical Analysis of Literary Text
Shun Watanabe, Takeru Yokoi (TMCIT) NLC2018-21		 Various features are used for metrical analysis of literary text, which are depending on the task. In tasks aim at inter... [more] NLC2018-21
pp.79-84
NLC, IPSJ-DC 2018-09-07
14:00		 Tokyo Seikei University Knowledge exploration by combining machine learning and text mining -- Content analysis of newspaper articles on Regional Branding --
Hirofumi Omori (Meisei Univ.) NLC2018-22		 The purpose of this research is to examine a knowledge exploration method by combining machine learning and text mining.... [more] NLC2018-22
pp.85-90
NLC, IPSJ-DC 2018-09-07
15:00		 Tokyo Seikei University [Invited Lecture]
Zhang Peinan (CyberAgent) NLC2018-23		  [more] NLC2018-23
p.91
NLC, IPSJ-DC 2018-09-07
15:30		 Tokyo Seikei University [Invited Lecture]
Toru Shimizu (Yahoo Japan) NLC2018-24		 In this presentation, we report highlights from 56th Annual Meeting of the Association for Computational Linguistics (AC... [more] NLC2018-24
p.93
NLC, IPSJ-DC 2018-09-07
16:00		 Tokyo Seikei University [Invited Lecture]
Hidetaka Kamigaito (TITECH) NLC2018-25		  [more] NLC2018-25
p.95
NLC, IPSJ-DC 2018-09-07
16:50		 Tokyo Seikei University Detection of Food and Drink Expressions in Restaurant Review Services
Yasutaka Shindoh (Digital Garage), Suzushi Tomori (Kyoto Univ.), Kohei Tomita (Kakaku.com), Atsunori Kanemura (Digital Garage), Shinsuke Mori (Kyoto Univ.) NLC2018-26		 (Advance abstract in Japanese is available) [more] NLC2018-26
pp.97-102
NLC, IPSJ-DC 2018-09-07
17:15		 Tokyo Seikei University Method to Extend Coverage of Domain Dictionary Based on Distributed Representations of Words
Ryota Takagi, Kazuhiro Kazama (Wakayama Univ), Takeshi Sakaki (Hotto Link) NLC2018-27		 (Advance abstract in Japanese is available) [more] NLC2018-27
pp.103-108
NLC, IPSJ-DC 2018-09-07
17:40		 Tokyo Seikei University Extraction of causal information belong to business segments from securities reports
Kaito Takano, Hiroyuki Sakai, Ryozo Kitajima (Seikei Univ.) NLC2018-28		 In this research, we propose a method of extracting business segments from securities reports and extracting sentences i... [more] NLC2018-28
pp.109-112
 Results 1 - 20 of 20  /   
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