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

EMNLP 2014 Jing PengAnna FeldmanEkaterina Vylomova

We describe an algorithm for automatic classification of idiomatic and literal expressions. Our starting point is that words in a given text segment, such as a paragraph, that are highranking representatives of a common topic of discussion are less likely to be a part of an idiomatic expression... (read more)

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