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Technical Committee on Natural Language Understanding and Models of Communication (NLC) (Searched in: 2016)
Search Results: Keywords 'from:2017-02-09 to:2017-02-09'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, IPSJ-IFAT | 2017-02-09 10:40 |
Osaka | Recognizing Textual Entailment with Dependency-Parsed Structure Taking into Account Copular Sentence Akira Saito, Koichi Takeuchi (Okayama Univ.)  NLC2016-40 |
In the previous study of recognizing textual entailment, content word matching based approaches are often applied into r... [more] | NLC2016-40 pp.1-5 |
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| NLC, IPSJ-IFAT | 2017-02-09 11:05 |
Osaka | Observations on the influence of linguistic features and voice features in conversation on memory and impressions
-- Evaluate personality through differences -- Kotomi Takamuku, Yasuo Tanida (Synergy Marketing) NLC2016-41 |
We are working on the construction of mind model through the analysis of communication especially voice dialogue. First ... [more] | NLC2016-41 pp.7-12 |
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| NLC, IPSJ-IFAT | 2017-02-09 11:30 |
Osaka | Construction of a Bilingual Term Extension System Kazuya Ishibashi (Okayama Univ.), Kyo Kageura, Miki Iwai (UTokyo), Koichi Takeuchi (Okayama Univ.) NLC2016-42 |
In most of previous work, pattern-based approaches or statistical learning model based approaches are applied to extract... [more] | NLC2016-42 pp.13-17 |
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| NLC, IPSJ-IFAT | 2017-02-09 13:30 |
Osaka | Stock market prediction from Web news using expert articles and machine learning Ko Ichinose, Kazutaka Shimada (KIT) NLC2016-43 |
The market analysis is one of the important tasks for text mining. Many researchers have proposed methods using text inf... [more] | NLC2016-43 pp.19-24 |
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| NLC, IPSJ-IFAT | 2017-02-09 13:55 |
Osaka | Fortune tellers' skillful speech patterns
-- Binary classification using machine learning -- Kenji Yokotani (Niigata Seiryo Univ.) NLC2016-44 |
(Advance abstract in Japanese is available) [more] | NLC2016-44 pp.25-29 |
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| NLC, IPSJ-IFAT | 2017-02-09 14:45 |
Osaka | [Invited Talk]
Dawn of human values marketing
-- History of 5 years from (Synergy Marketing, Inc.) Research and Development start-up -- Yasuo Tanida (Synergy Marketing) NLC2016-45 |
Communication based on human understanding in marketing is very important. We have repeated verification of value market... [more] | NLC2016-45 pp.31-33 |
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| NLC, IPSJ-IFAT | 2017-02-09 15:55 |
Osaka | NLC2016-46 |
(Advance abstract in Japanese is available) [more] | NLC2016-46 pp.35-38 |
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| NLC, IPSJ-IFAT | 2017-02-10 09:25 |
Osaka | Extractive Summarization of Financial Statement Using Multi-Task Learning Masaru Isonuma, Toru Fujino, Jumpei Ukita, Haruka Murakami, Kimitaka Asatani, Junichiro Mori, Ichiro Sakata (UTokyo) NLC2016-47 |
In this paper, we proposed a methodology of summarizing financial statements which contributes to high quality investmen... [more] | NLC2016-47 pp.45-50 |
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| NLC, IPSJ-IFAT | 2017-02-10 13:55 |
Osaka | Detecting Earthquake Survivors with Serious Mental Damage Tatsuya Aoki (Tokyo Tech), Tetsuya Nasukawa, Katsumasa Yoshikawa (IBM Research), Hiroya Takamura, Manabu Okumura (Tokyo Tech) NLC2016-48 |
The 2011 Great East Japan Earthquake and 2016 Kumamoto Earthquakes had a great impact to numerous people all over the wo... [more] | NLC2016-48 pp.65-70 |
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| NLC, IPSJ-IFAT | 2017-02-10 14:20 |
Osaka | Development of Review Classifier System using Sentiment Analysis Haruka Ando, Shin Hara, Shinichi Watanabe (Utsunomiya Univ.) NLC2016-49 |
We developed a system of review classifier for Japanese Restaurant/Spot Review Website. [more] | NLC2016-49 pp.71-74 |
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| NLC, IPSJ-IFAT | 2017-02-10 14:45 |
Osaka | NLC2016-50 |
These days, many people use several kinds of services and apps that are linked to social networking service (SNS). In th... [more] | NLC2016-50 pp.75-80 |
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| NLC, IPSJ-IFAT | 2017-02-10 15:10 |
Osaka | Calculating the Similarity of Hobbies and Preferences by Word2Vec Using Dating Service Data Toshiki Akehata, Kentaro Nakanishi, Takuya Iwamoto (mixi) NLC2016-51 |
Dating Service is a service that users can search for lovers through the Internet. Many of the conventional dating serv... [more] |
NLC2016-51 pp.81-84 |
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