+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference
Yoonjung Choi, Janyce Wiebe · 2014
Recently, work in NLP was initiated on a type of opinion inference that arises when opinions are expressed toward events which have positive or negative effects on entities (+/-effect events).This paper addresses methods for creating a lexicon of such events, to support such work on opinion inference.Due to significant sense ambiguity, our goal is to develop a sense-level rather than word-level lexicon.To maximize the effectiveness of different types of information, we combine a graph-based method using WordNet 1 relations and a standard classifier using gloss information.A hybrid between the two gives the best results.Further, we provide evidence that the model is an effective way to guide manual annotation to find +/-effect senses that are not in the seed set.