Paper: Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions

ACL ID D14-1216
Title Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

We describe an algorithm for automatic clas- sification of idiomatic and literal expressions. Our starting point is that words in a given text segment, such as a paragraph, that are high- ranking representatives of a common topic of discussion are less likely to be a part of an id- iomatic expression. Our additional hypothesis is that contexts in which idioms occur, typi- cally, are more affective and therefore, we in- corporate a simple analysis of the intensity of the emotions expressed by the contexts. We investigate the bag of words topic represen- tation of one to three paragraphs containing an expression that should be classified as id- iomatic or literal (a target phrase). We ex- tract topics from paragraphs containing idioms and from paragraphs containing literals us- ing an unsupe...