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Technical Committee on Natural Language Understanding and Models of Communication (NLC) (Searched in: 2014)
Search Results: Keywords 'from:2014-06-14 to:2014-06-14'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC | 2014-06-14 13:05 |
Fukuoka | Kyushu Institute of Technology | Trouble information extraction based on rules and machine learning from Twitter Kohei Kurihara, Kazutaka Shimada (Kyushu Inst. of Tech.)  NLC2014-1 |
(Advance abstract in Japanese is available) [more] | NLC2014-1 pp.1-6 |
| NLC | 2014-06-14 13:30 |
Fukuoka | Kyushu Institute of Technology | Early Detection of Disasters with Contextual Information on Twitter Shota Saito (Univ. of Tokyo), Yohei Ikawa (IBM), Hideyuki Suzuki (Univ. of Tokyo), Akiko Murakami (IBM) NLC2014-2 |
Twitter, a recently growing micro-blogging service, offers opportunities to analyze real-time events by its real-time na... [more] | NLC2014-2 pp.7-12 |
| NLC | 2014-06-14 13:55 |
Fukuoka | Kyushu Institute of Technology | Reverse Engineering Twitter Hashtag Algorithm Marat Zhanikeev (Kyushu Inst. of Tech.) NLC2014-3 |
Twitter today markets itself through neat infographics where it explains how its main features -- specifically, the hash... [more] | NLC2014-3 pp.13-16 |
| NLC | 2014-06-14 14:45 |
Fukuoka | Kyushu Institute of Technology | Automatically-Generated Dictionary-based Emotion Recognition from Tweet Speech Eri Yanase, Hiromitsu Nishizaki, Yoshihiro Sekiguchi (Univ. of Yamanashi) NLC2014-4 |
We make a study of utilization of linguistic information for classification of emotion in spoken utterances. In Japanese... [more] | NLC2014-4 pp.17-22 |
| NLC | 2014-06-14 15:10 |
Fukuoka | Kyushu Institute of Technology | On-site likelihood identification of tweets with context information Yurie Onitsuka, Kazutaka Shimada (Kyushu Inst. of Tech.) NLC2014-5 |
The Web contains much information for the tourism, such as impressions and sentiments about sightseeing areas.Analyzing ... [more] | NLC2014-5 pp.23-28 |
| NLC | 2014-06-14 15:35 |
Fukuoka | Kyushu Institute of Technology | The Character Inference Method Based on Syntactic Analysis and Emotion Judgment from Twitter Yusuke Kanamaru, Akihiro Toyoshima, Noriyuki Okumura (KNCT) NLC2014-6 |
(Advance abstract in Japanese is available) [more] | NLC2014-6 pp.29-33 |
| NLC | 2014-06-14 16:25 |
Fukuoka | Kyushu Institute of Technology | The Difficulty Estimation Method for Mystery Novels using Context Analysis Seiya Hiraoka, Noriyuki Okumura (KNCT) NLC2014-7 |
(Advance abstract in Japanese is available) [more] | NLC2014-7 pp.35-40 |
| NLC | 2014-06-14 16:50 |
Fukuoka | Kyushu Institute of Technology | Refining the Classification Hierarchy of the Verb Conceptual Dictionary in an Integrated Narrative Generation System Taisuke Akimoto, Takashi Ogata (Iwate Prefectural Univ.) NLC2014-8 |
In our integrated narrative generation system, the verb conceptual dictionary contains semantic information of verb conc... [more] | NLC2014-8 pp.41-46 |
| NLC | 2014-06-14 17:15 |
Fukuoka | Kyushu Institute of Technology | A trial for the automatic acquisition of attribute frames in an integrated narrative generation system Jumpei Ono, Taisuke Akimoto, Takashi Ogata (Iwate Prefectual Univ.) NLC2014-9 |
[more] | NLC2014-9 pp.47-52 |
| NLC | 2014-06-15 09:00 |
Fukuoka | Kyushu Institute of Technology | Detection of Local Community Events Using HTML Structure of Web Documents Kazuki Asano, Koichi Takeuchi (Okayama Univ.) NLC2014-10 |
Recently many community events are held in local areas. To join the events must be enjoyable, however, these community e... [more] | NLC2014-10 pp.53-58 |
| NLC | 2014-06-15 09:25 |
Fukuoka | Kyushu Institute of Technology | Extraction of Determinants of Postoperative Length of Stay from Operation Records Takanori Yamashita, Yoshifumi Wakata, Satoshi Hamai, Yasuharu Nakashima, Yukihide Iwamoto, Naoki Nakashima, Sachio Hirokawa (Kyushu Univ.) NLC2014-11 |
Secondary use of clinical text data are gaining much attention in improving the quality and the efficiency of medical tr... [more] | NLC2014-11 pp.59-64 |
| NLC | 2014-06-15 09:50 |
Fukuoka | Kyushu Institute of Technology | A Method for Utilizing Less Relevant Documents to Relevance Feedback Takaaki Wada, Hidetoshi Nagai, Teigo Nakamura (Kyushu Inst. of Tech.) NLC2014-12 |
In this paper, we propose a method for utilizing less relevant documents to relevance feedback in document retrieval. I... [more] |
NLC2014-12 pp.65-69 |
| NLC | 2014-06-15 10:40 |
Fukuoka | Kyushu Institute of Technology | Making a Consumer behavior model with using values Emiko Fujii, Yinjun Hu, Yoshihide Nishio (Synergy Marketing) NLC2014-13 |
(To be available after the conference date) [more] | NLC2014-13 pp.71-74 |
| NLC | 2014-06-15 11:05 |
Fukuoka | Kyushu Institute of Technology | Using text mining techniques to analyze free answer questions Yinjun Hu, Yasuo Tanida (Synergy Marketing) NLC2014-14 |
This paper presents a method for free answer classi cation and summarization by using text mining techniques. For the co... [more] | NLC2014-14 pp.75-79 |
| NLC | 2014-06-15 11:30 |
Fukuoka | Kyushu Institute of Technology | Proposals to recommendation engine development of human resources in social media. Kenichi Sakaguchi (Technosolution) NLC2014-15 |
(To be available after the conference date) [more] | NLC2014-15 pp.81-84 |
| NLC | 2014-06-15 13:00 |
Fukuoka | Kyushu Institute of Technology | Computing cross-lingual semantic textual similarities based on machine learning Luo Wen Tao, Yoshihiko Hayashi (Osaka Univ.) NLC2014-16 |
This paper proposes a method to compute cross-lingual semantic textual similarities between sentences in different langu... [more] | NLC2014-16 pp.85-90 |
| NLC | 2014-06-15 13:25 |
Fukuoka | Kyushu Institute of Technology | A comparative study of unsounded code strings at the end of Japanese, English, Spanish, Portuguese, and French tweets Hiroki Matsumoto, Yasuhiko Watanabe, Kunihiro Nakajima, Ryo Nishimura, Yoshihiro Okada (Ryukoku Univ.) NLC2014-17 |
In this study, we compare Japanese, English, Spanish, Portuguese, and French tweets submitted to Twitter and discuss how... [more] | NLC2014-17 pp.91-96 |
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