Modeling interestingness with deep neural networks

EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn 2014-January, Issue , 2014, Pages 2-13

  Gao, Jianfeng ^a   Pantel, Patrick ^a   Gamon, Michael ^a   He, Xiaodong ^a   Deng, Li ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS; VECTOR SPACES;

DOCUMENT MODELING; ENTITY SEARCH; FEATURES VECTOR; INTERESTINGNESS; LARGE-SCALES; NATURALLY OCCURRING; QUALITY IMPROVEMENT; REAL-WORLD DATASETS; SEMANTIC SIMILARITY MODEL; STATE OF THE ART;

DEEP NEURAL NETWORKS;

EID: 85106623891     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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