| Presentation | 2017-09-18 Comparative consideration of automatic sentence generation method Ota Hiromitsu, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The era of big data has arrived, several years have passed since it was established. Especially the development of deep learning in recent years is remarkable. However, to take advantage of it, the cost aspect of how much text is needed is important in practice. In this paper, we compare and consider efficient method of text quantity. Mainly used methods are as follows. 1) Markov chain, 2) automatic summarization, 3) is scheduled to sentence generated by deep learning (RNN / LSTM). |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | deep learning / big data / natural language processing / Markov chain / automatic summarization / RNN / LSTM / quantity of texts |
| Paper # | DE2017-13 |
| Date of Issue | 2017-09-11 (DE) |
| Conference Information | |
| Committee | DE / IPSJ-DBS / IPSJ-IFAT |
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| Conference Date | 2017/9/18(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ochanomizu University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Big Data Management, Information Retrieval, Knowledge Discovery, etc. |
| Chair | Akiyo Nadamoto(Konan Univ.) |
| Vice Chair | Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.) |
| Secretary | Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science) |
| Assistant | Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Data Engineering / Special Interest Group on Database System / Special Interest Group on Information Fundamentals and Access Technologies |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparative consideration of automatic sentence generation method |
| Sub Title (in English) | Issues and measures of connection among sentences in sentence generation |
| Keyword(1) | deep learning |
| Keyword(2) | big data |
| Keyword(3) | natural language processing |
| Keyword(4) | Markov chain |
| Keyword(5) | automatic summarization |
| Keyword(6) | RNN |
| Keyword(7) | LSTM |
| Keyword(8) | quantity of texts |
| 1st Author's Name | Ota Hiromitsu |
| 1st Author's Affiliation | University of Air(Univ. of Air) |
| Date | 2017-09-18 |
| Paper # | DE2017-13 |
| Volume (vol) | vol.117 |
| Number (no) | DE-212 |
| Page | pp.pp.1-6(DE), |
| #Pages | 6 |
| Date of Issue | 2017-09-11 (DE) |