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Technical Committee on Natural Language Understanding and Models of Communication (NLC) (Searched in: 2018)
Search Results: Keywords 'from:2019-02-07 to:2019-02-07'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, IPSJ-IFAT | 2019-02-07 12:40 |
Kyoto | Ryukoku University Omiya Campus | Study of Classification in Technical Element for Patent Search Kenji AKiyama, Takafumi Saito (TUAT)  NLC2018-35 |
In the patent research, seach person have to read a large number of patent publications and are forced to perform manual... [more] | NLC2018-35 pp.1-6 |
| NLC, IPSJ-IFAT | 2019-02-07 13:05 |
Kyoto | Ryukoku University Omiya Campus | Finding Reliable Rescue Request in Disasters
-- Analysis of " Rescue" Tweet in 2018 West Japan Heavy Rain Disaster -- Chenjie Song, Hiroyuki Fujishiro (Hosei Univ.) NLC2018-36 |
A large amount of unverified information circulating on social media has prevented it from being efficiently utilized fo... [more] | NLC2018-36 pp.7-12 |
| NLC, IPSJ-IFAT | 2019-02-07 13:30 |
Kyoto | Ryukoku University Omiya Campus | A study on grasp the contents of discussion in public decision-making process
-- An analysis on the minutes of the Yodo River Watershed Committee -- Asako Iwami (Hosei Univ.) NLC2018-37 |
In this paper, I examined the analysis method to grasp the contents of the discussion to develop an information provisio... [more] | NLC2018-37 pp.13-14 |
| NLC, IPSJ-IFAT | 2019-02-07 14:20 |
Kyoto | Ryukoku University Omiya Campus | Knowledge Acquisition about Event Information from Twitter Kohei Yamamoto, Kazutaka Shimada (Kyutech) NLC2018-38 |
In this paper, we propose a knowledge acquisition method for non-task-oriented dialogue systems, Such dialogue systems n... [more] | NLC2018-38 pp.15-20 |
| NLC, IPSJ-IFAT | 2019-02-07 14:45 |
Kyoto | Ryukoku University Omiya Campus | Call Scene Segmentation based on Neural Networks with Conversational Contexts Ryo Masumura, Tomohiro Tanaka, Atsushi Ando, Hosana Kamiyama, Takanobu Oba, Yushi Aono (NTT) NLC2018-39 |
Call scene segmentation that automatically splits contact center dialogues into several call scenes is useful for constr... [more] | NLC2018-39 pp.21-26 |
| NLC, IPSJ-IFAT | 2019-02-07 15:30 |
Kyoto | Ryukoku University Omiya Campus | [Invited Talk]
ForeSight Voice Mining, a voice mining system for contact centers Kazuhiro Arai (NTT-TX) NLC2018-40 |
This paper describes ForeSight Voice Mining that NTT TechnoCross Corp. provides for contact centers. ForeSight Voice Min... [more] | NLC2018-40 pp.27-32 |
| NLC, IPSJ-IFAT | 2019-02-07 16:30 |
Kyoto | Ryukoku University Omiya Campus | [Invited Talk]
NLP for Disaster Situation: R&D of Chatbot helping Crisis Response on SIP Masatsugu Hangyo (WNI), Kiyonori Ohtake (NICT) NLC2018-41 |
Disaster response agencies are challenged with lack of human resources in a disaster situation. Efficient disaster resp... [more] |
NLC2018-41 p.33 |
| NLC, IPSJ-IFAT | 2019-02-08 09:30 |
Kyoto | Ryukoku University Omiya Campus | Selection of Figurative Expression Using Automatically Generated Data Set Yuto Mitsuishi, Kazutaka Shimada (Kyutech) NLC2018-42 |
Figurative expressions are one of effective approaches to lead readers to understand. In this paper, we propose a selec... [more] |
NLC2018-42 pp.35-40 |
| NLC, IPSJ-IFAT | 2019-02-08 09:55 |
Kyoto | Ryukoku University Omiya Campus | Identifying Antecedents of Japanese Zero-pronouns by Multi-step Anaphoric Using KNP Soichi Kageyama, Kazunari Inoue (NIT, AC), Noriyuki Okumura (Otemae Univ.) NLC2018-43 |
When accurately extracting the person’s name in a story such as a novel, it is necessary to correctly analyze a person i... [more] | NLC2018-43 pp.41-46 |
| NLC, IPSJ-IFAT | 2019-02-08 10:20 |
Kyoto | Ryukoku University Omiya Campus | Inference of Local Feature Correlations and Detection of Structural Similarity for Text Data Keisuke Sasahara, Makoto Haraguchi (Hokkaido Univ.) NLC2018-44 |
We propose in this report methods for searching local correlations among features on text data and for detecting sentenc... [more] | NLC2018-44 pp.47-52 |
| NLC, IPSJ-IFAT | 2019-02-08 10:45 |
Kyoto | Ryukoku University Omiya Campus | Development of Phenotyping algorithm from Medical Text-based Data using Machine Learning Methods Takanori Yamashita, Rieko Izukura, Sachio Hirokawa, Naoki Nakashima (Kyushu Univ.) NLC2018-45 |
Electronic medical records (EMRs) accumulated in the Hospital Information System (HIS) are called Real World Data (RWD).... [more] | NLC2018-45 pp.53-57 |
| NLC, IPSJ-IFAT | 2019-02-08 13:00 |
Kyoto | Ryukoku University Omiya Campus | [Special Talk]
Morphological Analyzer for Business "Sudachi": the Present and Future Yoshitaka Uchida (Works Applications) NLC2018-46 |
Morphological analysis is a fundamental and important technology for processing a Japanese text, especially for industri... [more] | NLC2018-46 p.59 |
| NLC, IPSJ-IFAT | 2019-02-08 15:00 |
Kyoto | Ryukoku University Omiya Campus | Which are better learning materials for English paper reading?
-- Academic reference papers or textbooks -- Hiroshi Aoyama, Atsuo Kawai, Syunsuke Kato, Tasuku Yamashita (Mie Univ.) NLC2018-47 |
(To be available after the conference date) [more] | NLC2018-47 pp.63-68 |
| NLC, IPSJ-IFAT | 2019-02-08 15:25 |
Kyoto | Ryukoku University Omiya Campus | Assisting Text Classification for Request Post Analysis Kanji Takahashi, Yuki Okuda (Sansan, Inc.) NLC2018-48 |
We collect customers requests for our own product to improve service. For quantitative analysis, we manually classify th... [more] | NLC2018-48 pp.69-74 |
| NLC, IPSJ-IFAT | 2019-02-08 15:50 |
Kyoto | Ryukoku University Omiya Campus | Change Point Detection of Word Senses by Analyzing Word Vectors Generated by Random Indexing Masahiro Ishikawa (Takasaki Univ. of H. and W.) NLC2018-49 |
Massive amount of user-generated text has already been accumulated on the web. Such texts are utilized in many domains. ... [more] | NLC2018-49 pp.75-79 |
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