This work investigates design choices in modeling a discourse scheme for improving opinion polarity classification. For this, two diverse global inference paradigms are used: a su...
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
This paper describes an adapted information bottleneck approach for construction of domain-oriented sentiment lexicon. The basic idea is to use three kinds of relationships (WWint...
Abstract. We describe a denotational (game) semantics for a call-byvalue functional language with multiple threads of control, which may communicate values of general type on local...
We propose an approach to adjective-noun composition (AN) for corpus-based distributional semantics that, building on insights from theoretical linguistics, represents nouns as ve...