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Technical Committee on Thought and Language (TL) (Searched in: 2016)
Search Results: Keywords 'from:2016-06-04 to:2016-06-04'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, TL | 2016-06-04 13:40 |
Hokkaido | Otaru University of Commerce | An Estimation of the Original Form of Kaomoji for Emotions Extraction Noriyuki Okumura (NITAC)  TL2016-1 NLC2016-1 |
(Advance abstract in Japanese is available) [more] | TL2016-1 NLC2016-1 pp.1-4 |
| NLC, TL | 2016-06-04 14:05 |
Hokkaido | Otaru University of Commerce | Japanese Dependency Analysis based on Universal Dependencies Hiroshi Kanayama (IBM Japan), Takaaki Tanaka (NTT) TL2016-2 NLC2016-2 |
(Advance abstract in Japanese is available) [more] | TL2016-2 NLC2016-2 pp.5-10 |
| NLC, TL | 2016-06-04 14:30 |
Hokkaido | Otaru University of Commerce | Text Analytics to evolve, the future possibility vol.1 Makoto Ichise (DOCOMO) TL2016-3 NLC2016-3 |
(Advance abstract in Japanese is available) [more] | TL2016-3 NLC2016-3 pp.11-16 |
| NLC, TL | 2016-06-04 15:20 |
Hokkaido | Otaru University of Commerce | [Invited Talk]
Construction of Japanese Regional Assembly Minutes Corpus Connecting Backgrounds, Processes and Results Yasutomo Kimura (Otaru Univ. of Commerce) TL2016-4 NLC2016-4 |
Our research team has proceeded with constructing the local political corpus which can be used by researchers. Furtherm... [more] |
TL2016-4 NLC2016-4 pp.17-18 |
| NLC, TL | 2016-06-04 16:00 |
Hokkaido | Otaru University of Commerce | Brand Identity Extraction from Customers' Viewpoint for Agricultural Products. Akio Kobayashi, Shun Tanaka, Shigeru Masuyama (TUT) TL2016-5 NLC2016-5 |
(Advance abstract in Japanese is available) [more] | TL2016-5 NLC2016-5 pp.19-22 |
| NLC, TL | 2016-06-04 16:25 |
Hokkaido | Otaru University of Commerce | A SVM-based Method of Victim Representation Extraction from Bad-mouth Comments in Social Media Yuki Nakano, Yuki Kawahara, Takashi Inui (Tsukuba Univ.) TL2016-6 NLC2016-6 |
Bad-mouth comments found on the Social media are negative side of information-oriented society. In this paper, we discus... [more] | TL2016-6 NLC2016-6 pp.23-28 |
| NLC, TL | 2016-06-04 16:50 |
Hokkaido | Otaru University of Commerce | Identification of Tweets that Mention Books
-- Effects of Features, Data Size, and ML Algorithms -- Shuntaro Yada, Kyo Kageura (UTokyo) TL2016-7 NLC2016-7 |
We report performances of a classifier that identify Tweets that Mention Books (TMB) from tweets that contain the same s... [more] | TL2016-7 NLC2016-7 pp.29-34 |
| NLC, TL | 2016-06-04 17:15 |
Hokkaido | Otaru University of Commerce | Abstractive summarization of sports games from microblogs Yuuki Tagawa, Shimada Kazutaka (KIT) TL2016-8 NLC2016-8 |
Recently, summary generation of sports games for microblogs is studied actively. Summary generation methods in the studi... [more] | TL2016-8 NLC2016-8 pp.35-40 |
| NLC, TL | 2016-06-05 09:30 |
Hokkaido | Otaru University of Commerce | Application of Language Technology to Language Assessment
-- Measuring different aspects of language proficiency of Japanese learners of English with different automated tests -- Masanori Suzuki (Pearson), Miwa Morishita (Kobe Gakuin Univ.), Yasunari Harada (Waseda Univ.) TL2016-9 NLC2016-9 |
Japan is faced with an imminent challenge of cultivating ‘global human resources’, as the whole society develops into a ... [more] | TL2016-9 NLC2016-9 pp.41-46 |
| NLC, TL | 2016-06-05 09:55 |
Hokkaido | Otaru University of Commerce | Visualization of trouble information extracted from Twitter Rino Moromasa, Kohei Kurihara, Kazutaka Shimada (Kyutech) TL2016-10 NLC2016-10 |
The World Wide Web contains a huge number of online documents that are easily accessible. One of the important informa... [more] |
TL2016-10 NLC2016-10 pp.47-52 |
| NLC, TL | 2016-06-05 10:20 |
Hokkaido | Otaru University of Commerce | A Comparative Analysis of Sizzle words for Automatic Extraction of "Palatability" Maki Morita (Wakayama Univ.), Eiji Aramaki (NAIST), Akiyo Nadamoto (Konan Univ.), Mai Miyabe (Wakayama Univ.) TL2016-11 NLC2016-11 |
Nowadays, the restaurant search services on the Internet become popular, people use them when they search the new restau... [more] | TL2016-11 NLC2016-11 pp.53-58 |
| NLC, TL | 2016-06-05 10:45 |
Hokkaido | Otaru University of Commerce | TL2016-12 NLC2016-12 |
These days, many people use social networking service (SNS) to share private information like photos and videos and t... [more] |
TL2016-12 NLC2016-12 pp.59-64 |
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