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Technical Committee on Natural Language Understanding and Models of Communication (NLC) (Searched in: 2017)
Search Results: Keywords 'from:2017-09-07 to:2017-09-07'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC | 2017-09-07 10:10 |
Tokyo | Seikei University | Study on Pinpoint Focus Type of Text Mining Technique Fumio Komoda (Saigaku Univ.), Atsuho Nakayama (Tokyo Metro Univ.)  NLC2017-13 |
Text mining technique is classified into “birds-eye type”, in which words with much frequency of appearance are payed at... [more] | NLC2017-13 pp.1-6 |
| NLC | 2017-09-07 10:35 |
Tokyo | Seikei University | A Study on Automatic Text Generation
-- Issues and measures of connection among sentences in sentence generation -- Hiromitsu Ota (Open Univ.) NLC2017-14 |
(Advance abstract in Japanese is available) [more] | NLC2017-14 pp.7-12 |
| NLC | 2017-09-07 11:00 |
Tokyo | Seikei University | Naoya Onimura (Kyushu Univ.), Takanori Yamashita, Naoki Nakashima (Kyushu Univ. HP), Hidehisa Soejima (Saiseikai Kumamoto Hospital), Sachio Hirokawa (Kyushu Univ.) NLC2017-15 |
(Advance abstract in Japanese is available) [more] | NLC2017-15 pp.13-18 |
| NLC | 2017-09-07 13:10 |
Tokyo | Seikei University | Protective actions increase victim's success in thwarting sexual exploitation
-- Word2Vec analysis on official suit documents about sexual offence -- Kenji Yokotani (Niigata Seiryo Univ.) NLC2017-16 |
Victim’s protective actions, such as hitting and kicking sexual offenders, reportedly increased victim’s success in thwa... [more] | NLC2017-16 pp.19-24 |
| NLC | 2017-09-07 13:35 |
Tokyo | Seikei University | Robust Language Processing Infrastructure for Information Analysis of Real Texts Daisuke Kawahara, Sadao Kurohashi (Kyoto Univ.), Yuta Hayashibe (Fairy Devices), Hajime Morita (FUJITSU LABORATORIES), Arseny Tolmachev (Kyoto Univ.) NLC2017-17 |
On real texts, such as blog articles, tweets and SNS texts, people's real voices are written about evaluations and opin... [more] |
NLC2017-17 pp.25-30 |
| NLC | 2017-09-07 14:20 |
Tokyo | Seikei University | [Special Talk]
() NLC2017-18 |
(Advance abstract in Japanese is available) [more] | NLC2017-18 p.31 |
| NLC | 2017-09-07 15:10 |
Tokyo | Seikei University | [Invited Talk]
Data Driven Service Development and Utilization of Text Analytics In Gunosy Inc. Yoshifumi Seki (Gunosy/Tokyo Univ.) NLC2017-19 |
(Advance abstract in Japanese is available) [more] | NLC2017-19 p.33 |
| NLC | 2017-09-07 16:00 |
Tokyo | Seikei University | [Invited Talk]
() NLC2017-20 |
(Advance abstract in Japanese is available) [more] | NLC2017-20 p.35 |
| NLC | 2017-09-07 16:50 |
Tokyo | Seikei University | [Invited Talk]
Applications of Machine Learning and NLP in C2C Marketplace Yu Kodama, , , , Takuma Yamaguchi (Mercari, Inc) NLC2017-21 |
(Advance abstract in Japanese is available) [more] | NLC2017-21 p.37 |
| NLC | 2017-09-07 17:40 |
Tokyo | Seikei University | [Panel Discussion]
Takeshi Sakaki (Hottolnk) NLC2017-22 |
(Advance abstract in Japanese is available) [more] | NLC2017-22 p.39 |
| NLC | 2017-09-08 10:00 |
Tokyo | Seikei University | An attempt to extract bill lists for collecting bills of local councils Takuma Tanaka (TUT), Hiroki Sakaji (The Univ of Tokyo), Akio Kobayashi (AIP), Yasutomo Kimura (Otaru Univ of Commerce), Shigeru Masuyama (TUT) NLC2017-23 |
Abstract In councils of local governments (local council for short), bills are submitted by its head, committees,and mem... [more] | NLC2017-23 pp.41-46 |
| NLC | 2017-09-08 10:25 |
Tokyo | Seikei University | A Study of Extracting Related Documents for Essay Evaluation Modules Kota Motojin, Koichi Takeuchi, Masayuki Ohno, Masahiro Taguchi, Yoshihiko Inada, Masaya Iiduka, Tatsuhiko Abo, Hitoshi Ueda (Okayama Univ) NLC2017-24 |
We are developing an automatic Japanese essay-scoring system that is composed of 4 evaluation criteria, comprehensivenes... [more] | NLC2017-24 pp.47-51 |
| NLC | 2017-09-08 10:50 |
Tokyo | Seikei University | Applicability of Structural Topic Model to job search site VOC text analysis
-- Feature selection with Bayesian Network Structure Learning -- Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2017-25 |
We describe the result of examination applying Structural Topic Model and Bayesian net structure learning complementaril... [more] | NLC2017-25 pp.53-58 |
| NLC | 2017-09-08 13:10 |
Tokyo | Seikei University | Prediction of personal identity from social data using machine learning and deep learning Take Yo, Kazutoshi Sasahara (NU) NLC2017-26 |
(Advance abstract in Japanese is available) [more] | NLC2017-26 pp.59-64 |
| NLC | 2017-09-08 13:35 |
Tokyo | Seikei University | Yoshifumi Seki (Gunosy/Tokyo Univ.), Asahi Ushio (Keio Univ.), Takeshi Yoneda (Gunosy), Yutaka Matsuo (Tokyo Univ.) NLC2017-27 |
Clickbait has become a problem in recent years. When a user browse clickbait news articles, It is thought that the use... [more] |
NLC2017-27 pp.65-70 |
| NLC | 2017-09-08 14:00 |
Tokyo | Seikei University | Design and Implementation of Personalized News Recommendation System Takeshi Yoneda, Mitsumasa Kubo, Yoshifumi Seki (Gunosy) NLC2017-28 |
Personalization of news recommendation systems is hard because of timeliness of news articles and imbalanced user logs. ... [more] | NLC2017-28 pp.71-74 |
| NLC | 2017-09-08 14:50 |
Tokyo | Seikei University | NLC2017-29 |
(To be available after the conference date) [more] | NLC2017-29 p.75 |
| NLC | 2017-09-08 15:10 |
Tokyo | Seikei University | NLC2017-30 |
(Advance abstract in Japanese is available) [more] | NLC2017-30 p.77 |
| NLC | 2017-09-08 15:35 |
Tokyo | Seikei University | [Invited Lecture]
Attendance and Organizing Report of SIGIR 2017
-- Conference summary and neural network-based IR -- Atsushi Keyaki (Tokyo Tech) NLC2017-31 |
Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) is one of the most important in... [more] | NLC2017-31 p.79 |
| NLC | 2017-09-08 16:20 |
Tokyo | Seikei University | Takayuki Kaneko, Kanako Komiya, Minoru Sasaki, Hiroyuki Shinnou (Ibaraki Univ.) NLC2017-32 |
(Advance abstract in Japanese is available) [more] | NLC2017-32 pp.81-86 |
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