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Volumn , Issue , 2015, Pages 1774-1784

Improved relation extraction with Feature-rich Compositional embedding models

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXTRACTION; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84959905696     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d15-1205     Document Type: Conference Paper
Times cited : (149)

References (37)
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    • Antoine Bordes, Xavier Glorot, Jason Weston, and Yoshua Bengio. 2012. A semantic matching energy function for learning with multi-relational data. Machine Learning, pages 1-27.
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    • Bordes, A.1    Glorot, X.2    Weston, J.3    Bengio, Y.4
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    • Ciaramita, M.1    Altun, Y.2
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    • 80053551637 scopus 로고    scopus 로고
    • Simple semi-supervised dependency parsing
    • Columbus, Ohio, June. Association for Computational Linguistics
    • Terry Koo, Xavier Carreras, and Michael Collins. 2008. Simple semi-supervised dependency parsing. In Proceedings of ACL-08: HLT, pages 595-603, Columbus, Ohio, June. Association for Computational Linguistics.
    • (2008) Proceedings of ACL-08: HLT , pp. 595-603
    • Koo, T.1    Carreras, X.2    Collins, M.3
  • 17
    • 85117730830 scopus 로고    scopus 로고
    • Name tagging with word clusters and discriminative training
    • Susan Dumais, Daniel Marcu, and Salim Roukos, editors, Association for Computational Linguistics
    • Scott Miller, Jethran Guinness, and Alex Zamanian. 2004. Name tagging with word clusters and discriminative training. In Susan Dumais, Daniel Marcu, and Salim Roukos, editors, HLT-NAACL 2004: Main Proceedings. Association for Computational Linguistics.
    • (2004) HLT-NAACL 2004: Main Proceedings
    • Miller, S.1    Guinness, J.2    Zamanian, A.3
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    • 84988673432 scopus 로고    scopus 로고
    • Utd: Classifying semantic relations by combining lexical and semantic resources
    • Uppsala, Sweden, July. Association for Computational Linguistics
    • Bryan Rink and Sanda Harabagiu. 2010. Utd: Classifying semantic relations by combining lexical and semantic resources. In Proceedings of the 5th International Workshop on Semantic Evaluation, pages 256-259, Uppsala, Sweden, July. Association for Computational Linguistics.
    • (2010) Proceedings of the 5th International Workshop on Semantic Evaluation , pp. 256-259
    • Rink, B.1    Harabagiu, S.2
  • 26
    • 84961322744 scopus 로고    scopus 로고
    • Composition of word representations improves semantic role labelling
    • Michael Roth and Kristian Woodsend. 2014. Composition of word representations improves semantic role labelling. In EMNLP.
    • (2014) EMNLP
    • Roth, M.1    Woodsend, K.2
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    • 80053495924 scopus 로고    scopus 로고
    • Word representations: A simple and general method for semi-supervised learning
    • Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010. Word representations: a simple and general method for semi-supervised learning. In Association for Computational Linguistics, pages 384-394.
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    • Turian, J.1    Ratinov, L.2    Bengio, Y.3
  • 35
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    • Combining word embeddings and feature embeddings for fine-grained relation extraction
    • Mo Yu, Matthew R. Gormley, and Mark Dredze. 2015. Combining word embeddings and feature embeddings for fine-grained relation extraction. In Proceedings of NAACL.
    • (2015) Proceedings of NAACL
    • Yu, M.1    Gormley, M.R.2    Dredze, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.