Natural Language Processing Neural Network Considering Deep Cases
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- Sagara Tsukasa
- Graduate School of Science and Technology, Keio University
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- Hagiwara Masafumi
- Graduate School of Science and Technology, Keio University
Bibliographic Information
- Other Title
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- 深層格を導入した言語処理ニューラルネットワーク
- シンソウカク オ ドウニュウ シタ ゲンゴ ショリ ニューラル ネットワーク
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Abstract
In this paper, we propose a novel neural network considering deep cases. It can learn knowledge from natural language documents and can perform recall and inference. Various techniques of natural language processing using Neural Network have been proposed. However, natural language sentences used in these techniques consist of about a few words, and they cannot handle complicated sentences. In order to solve these problems, the proposed network divides natural language sentences into a sentence layer, a knowledge layer, ten kinds of deep case layers and a dictionary layer. It can learn the relations among sentences and among words by dividing sentences. The advantages of the method are as follows: (1) ability to handle complicated sentences; (2) ability to restructure sentences; (3) usage of the conceptual dictionary, Goi-Taikei, as the long term memory in a brain. Two kinds of experiments were carried out by using goo dictionary and Wikipedia as knowledge sources. Superior performance of the proposed neural network has been confirmed.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 131 (3), 551-557, 2011
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204609429760
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- NII Article ID
- 10027804321
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 10986316
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed