| Presentation | 2017-09-23 Comparative study of utilization of non-structured data for automatic generation of sentences Hiromitsu Ota, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Several years have passed since the age of big data arrived, and the development of deep learning in recent years is remarkable. Although image processing and speech recognition benefit from it, it seems that it can not be seen in the field of connection between sentences of natural language processing and sentences. So I would like to compare and examine each method of natural sentence generation that I can pass in practice and want to find a clue to the future. 1) Markov chain, 2) automatic summarization, 3) text generation by deep learning (RNN / LSTM/ GAN). |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | big data / deep learning / natural language processing / connection between sentences / Markov chain / automatic summarization / RNN / LSTM |
| Paper # | TL2017-38 |
| Date of Issue | 2017-09-16 (TL) |
| Conference Information | |
| Committee | TL |
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| Conference Date | 2017/9/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Theme1: language and learning, Theme 2: interpretation and translation, Theme 3: thought and language, etc. |
| Chair | Masami Suzuki(KDDI Research) |
| Vice Chair | Tadahisa Kondo(Kogakuin Univ.) / Chiaki Kubomura(Yamano College of Aesthetics) |
| Secretary | Tadahisa Kondo(Kobe Gakuin Univ.) / Chiaki Kubomura(Kyoto Institute of Technology) |
| Assistant | Nobuyuki Jincho(Waseda Univ.) / Noriaki Takada(Ferris Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Thought and Language |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparative study of utilization of non-structured data for automatic generation of sentences |
| Sub Title (in English) | Connection between sentence and sentence as a subject |
| Keyword(1) | big data |
| Keyword(2) | deep learning |
| Keyword(3) | natural language processing |
| Keyword(4) | connection between sentences |
| Keyword(5) | Markov chain |
| Keyword(6) | automatic summarization |
| Keyword(7) | RNN |
| Keyword(8) | LSTM |
| 1st Author's Name | Hiromitsu Ota |
| 1st Author's Affiliation | University of Air(Univ. of Air) |
| Date | 2017-09-23 |
| Paper # | TL2017-38 |
| Volume (vol) | vol.117 |
| Number (no) | TL-218 |
| Page | pp.pp.1-6(TL), |
| #Pages | 6 |
| Date of Issue | 2017-09-16 (TL) |