In classic InformationRetrieval systems a relevant document will not be retrieved in response to a query if the document and query representations do not share at least one term. T...
In this paper, we present an empirical study that utilizes morph-syntactical information to improve translation quality. With three kinds of language pairs matched according to mor...
Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language mo...
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Extraction of phrasal knowledge, such as proper names, domain-specific keyphrases and lexical templates from a domain-specific text collection are significant for developing effec...