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We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation
(polarity and ...
Unsupervised Discovery of a Statistical Verb Lexicon
Unsupervised Statistical Verb Lexicon
2015/6/12
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb’s dependents is an important step in natural lang...
Lexicons are important resources for semantic tagging. However,
commonly used lexicons collected from entity databases suffer
from multiple problems, such as ambiguity, limited coverage and
lack...
The semantic ambiguity of lexical forms is pervasive: Many, if not most, words have multiple meanings. For example, one can draw a gun, draw water from a well, or draw a diagram. Despite the frequency...