Rim Hae-chang | Dept. Of Computer Science And Engineering Korea University
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概要
関連著者
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Rim Hae-chang
Dept. Of Computer Science And Engineering Korea University
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Rim Hae-chang
Dept. Of Computer And Radio Communications Engineering Korea University
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SONG Young-In
Dept. of Computer Science and Engineering, Korea University
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Song Young-in
Dept. Of Computer And Radio Communications Engineering Korea Univ.
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Park So-young
Department Of Computer Science Engineering Korea University
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Rim Hae‐chang
Korea Univ. Kor
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Rim H‐c
Department Of Computer Science Engineering Korea University
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Rim Hae-chang
Department Of Computer Science Korea University
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Rim Hae
Department Of Computer Science Korea University
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Kwak Yong-jae
Department Of Computer Science Engineering Korea University
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Rim Hae-chang
Department Of Computer Science Engineering Korea University
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Park S‐y
Korea Univ. Seoul Kor
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LEE Jung-Tae
Dept. of Computer and Radio Communications Engineering, Korea University
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LIM Joon-Ho
Department of Computer Science Engineering, Korea University
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KWAK Yong-Jae
Dept. of Computer Science & Engineering, Korea University
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PARK So-Young
Dept. of Computer Science & Engineering, Korea University
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LIM Joon-Ho
Dept. of Computer Science & Engineering, Korea University
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LEE Joo-Young
Dept. of Computer and Radio Communications Engineering, Korea Univ.
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HAN Kyoung-Soo
Div. of Computer Engineering, Sungkyul University
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Lee Joo-young
Dept. Of Computer And Radio Communications Engineering Korea Univ.
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YOON Juntae
Daumsoft Inc., NLP Lab.
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KIM Seonho
Dept. of Computer Science and Engineering, Korea University
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Lim Joon-ho
Department Of Computer Science Engineering Korea University
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Han Kyoung-soo
Div. Of Computer Engineering Sungkyul University
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Lee Jung-tae
Dept. Of Computer And Radio Communications Engineering Korea University
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Kim Seonho
Dept. Of Computer Science And Engineering Korea University
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Yoon Juntae
Daumsoft Inc.
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Yoon Juntae
Daumsoft Inc. Nlp Lab.
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Song Young-in
Dept. Of Computer Science And Engineering Korea University
著作論文
- Computing Word Semantic Relatedness for Question Retrieval in Community Question Answering
- Naive Probabilistic Shift-Reduce Parsing Model Using Functional Word Based Context for Agglutinative Languages(Natural Language Processing)
- Incorporating Frame Information to Semantic Role Labeling
- Improving Parsing Performance Using Corpus-Based Temporal Expression Analysis(Natural Language Processing)