2013 Fiscal Year Final Research Report
Learning Robust Word Representations for Natural Language Processing
Project/Area Number |
24800041
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Research Category |
Grant-in-Aid for Research Activity Start-up
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Allocation Type | Single-year Grants |
Research Field |
Intelligent informatics
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Research Institution | Nara Institute of Science and Technology |
Principal Investigator |
DUH Kevin 奈良先端科学技術大学院大学, 情報科学研究科, 助教 (80637322)
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Project Period (FY) |
2012-08-31 – 2014-03-31
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Keywords | 自然言語処理 / 機械学習 |
Research Abstract |
Language is a highly productive phenomenon; new words and expressions are constantly being invented. Current Natural Language Processing techniques have difficulty handling new words, so their performance on real-world text suffers. To address this, we develop robust models of word semantics, focusing on Deep Learning methods for learning vector word representations. Furthermore, we show improvements in parsing and translation performance using systems that incorporate these word representations.
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