Phrase-based decoding is conceptually simple and straightforward to implement, at the cost of drastically oversimplified reordering models. Syntactically aware models make it pos...
Results presented in this paper strongly support the notion that similarities as well as differences in language systems can be empirically investigated by looking into the lingui...
We present a scalable joint language model designed to utilize fine-grain syntactic tags. We discuss challenges such a design faces and describe our solutions that scale well to l...
Recent work in lexical resource construction has recognized the importance of contextualizing the knowledge in existing resources and ontologies with information derived from text...
Anna Rumshisky, Patrick Hanks, Catherine Havasi, J...
This paper presents a new discriminative model for information retrieval (IR), referred to as linear discriminant model (LDM), which provides a flexible framework to incorporate a...