Modeling the use of graffiti style features to signal social relations within a multi-domain learning paradigm

14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014

Volumn , Issue , 2014, Pages 107-115

  Piergallini, Mario ^a   Doğruöz, A Seza ^a,b   Gadde, Phani ^a   Adamson, David ^a   Rosé, Carolyn P ^a  

^a Carnegie Mellon University ^*  (United States)

^b TILBURG UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

DOMAIN LEARNING; FEATURE REPRESENTATION; LEARNING FRAMEWORKS; LEARNING PARADIGMS; MULTI-DOMAINS; PREDICTION TASKS; PREDICTIVE ACCURACY; RICH FEATURES; SOCIAL IDENTITY; SOCIAL RELATIONS;

FORECASTING;

EID: 84905686394     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/e14-1012     Document Type: Conference Paper

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