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Technical Committee on Natural Language Understanding and Models of Communication (NLC)  (2018)

Chair: Kazutaka Shimada (Kyushu Inst. of Tech.)
Vice Chair: Mitsuo Yoshida (Toyohashi Univ. of Tech.), Takeshi Kobayakawa (NHK)
Secretary: Hiroki Sakaji (Univ. of Tokyo), Aya Ishino (Hiroshima Univ. of Economics)
Assistant: Kanjin Takahashi (Sansan), Ko Mitsuda (NTT)

Search Results: Keywords 'from:2018-12-10 to:2018-12-10'

[Go to Official NLC Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-10
13:15
Tokyo Waseda Univ. Nishiwaseda Campus [Invited Talk] Review of Automatic Speech Recognition Methodology -- Outlook of Acoustic-to-Word Model --
Tatsuya Kawahara (Kyoto Univ.) SP2018-48
The methodology of speech recognition has been changing due to the introduction of deep learning, in particular end-to-e... [more] SP2018-48
pp.25-30
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-10
16:30
Tokyo Waseda Univ. Nishiwaseda Campus Evaluation of Japanese end-to-end speech synthesis method inputting kana and prosodic symbols
Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano, Atsushi Imai (NHK) SP2018-49
The purpose of this study was to conduct end-to-end text-to-speech synthesis in Japanese; we developed a system that use... [more] SP2018-49
pp.89-94
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-11
09:00
Tokyo Waseda Univ. Nishiwaseda Campus Speech analysis and synthesis using genetic algorithm and Fujisaki model
Tomio Takara (Univ. Ryukyus), Ryoichi Eto (Inter. Sys.) SP2018-50
We propose a model of infant’s word acquisition by speech mimicking. We use vowel space parameter representing a gesture... [more] SP2018-50
pp.101-106
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-11
13:10
Tokyo Waseda Univ. Nishiwaseda Campus [Invited Talk] Deep Learning and Scientific Computation Environments
Kotaro Nakayama (Tokyo Univ./NABLAS) NLC2018-29
(To be available after the conference date) [more] NLC2018-29
p.1
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-11
14:15
Tokyo Waseda Univ. Nishiwaseda Campus Automatic Extraction of Bilingual Sentences by Similarity based on Earth Mover's Distance using Word Embeddings and Difference of Sentence Length
Ryo Tanoue, Hiroshi Echizen'ya (Hokkai-Gakuen Univ.), Kenji Araki (Hokkaido Univ.) NLC2018-30
In this paper, we propose new method to automatically extract bilingual sentences from comparable corpus without high qu... [more] NLC2018-30
pp.3-8
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-12
11:00
Tokyo Waseda Univ. Nishiwaseda Campus Data augmentation using stereotypical reply for patients' tweet identification
Reine Asakawa, Tomoyosi Akiba (TUT) NLC2018-31
In this study, we try to identify patients' tweets for symptom surveillance using Twitter.
This functionality is indis... [more]
NLC2018-31
pp.55-60
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-12
13:00
Tokyo Waseda Univ. Nishiwaseda Campus [Invited Lecture]
Itsumi Saito (NTT) NLC2018-32
 [more] NLC2018-32
p.61
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-12
16:30
Tokyo Waseda Univ. Nishiwaseda Campus Proposing an Unsupervised Approach to Evaluate Essays Using IDF on Reference Data
Masayuki Ohno, Koichi Takeuchi, Kota Motojin, Yuya Obata, Masahiro Taguchi, Yoshihiko Inada, Masaya Iizuka, Tatsuhiko Abo, Hitoshi Ueda (Okayama Univ.) NLC2018-33
In this paper, we describe an on-going study of developing an
automatic essay-scoring system in Japanese. Essay scoring... [more]
NLC2018-33
pp.103-108
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2018-12-12
17:00
Tokyo Waseda Univ. Nishiwaseda Campus Application of Neural Title Generation as News Editing Assistant
Kazuma Murao (Yahoo Japan Corporation), Hayato Kobayashi (Yahoo Japan Corporation/RIKEN AIP), Taichi Yatsuka, Ken Kobayashi, Takeshi Masuyama, Tatsuru Higurashi, Yoshimune Tabuchi (Yahoo Japan Corporation) NLC2018-34
There have been many studies on automatic title generation based on neural networks.
However, there are a number of cha... [more]
NLC2018-34
pp.109-115
 Results 1 - 9 of 9  /   
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