That's so annoying!!!: A lexical and frame-semantic embedding based data augmentation approach to automatic categorization of annoying behaviors using #petpeeve tweets

Conference Proceedings - EMNLP 2015: Conference on Empirical Methods in Natural Language Processing

Volumn , Issue , 2015, Pages 2557-2563

  Wang, William Yang ^a   Yang, Diyi ^a  

^a Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDINGS; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE);

ANNOYING BEHAVIOR; AUTOMATIC CATEGORIZATION; BEHAVIORAL ANALYSIS; DATA AUGMENTATION; GEOGRAPHIC VARIATION; QUALITATIVE ANALYSIS; SEMANTIC EMBEDDING; SYNTACTIC FEATURES;

SEMANTICS;

EID: 84959928437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d15-1306     Document Type: Conference Paper

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