Paper: Learning General Connotation of Words using Graph-based Algorithms

ACL ID D11-1101
Title Learning General Connotation of Words using Graph-based Algorithms
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011
Authors

In this paper, we introduce a connotation lex- icon, a new type of lexicon that lists words with connotative polarity, i.e., words with pos- itive connotation (e.g., award, promotion) and words with negative connotation (e.g., cancer, war). Connotation lexicons differ from much studied sentiment lexicons: the latter concerns words that express sentiment, while the former concerns words that evoke or associate with a specific polarity of sentiment. Understand- ing the connotation of words would seem to require common sense and world knowledge. However, we demonstrate that much of the connotative polarity of words can be inferred from natural language text in a nearly unsu- pervised manner. The key linguistic insight behind our approach is selectional preference of connotative predicates. We...