Using content-specific models to guide information retrieval and extraction can provide richer interfaces to endusers for both understanding the context of news events and navigat...
Earl J. Wagner, Jiahui Liu, Larry Birnbaum, Kennet...
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
We define and study the process of context transfer in search advertising, which is the transition of a user from the context of Web search to the context of the landing page tha...
Hila Becker, Andrei Z. Broder, Evgeniy Gabrilovich...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
In this paper, we present our online summarization system of web topics. The user defines the topic by a set of keywords. Then the system searches the Web for the relevant documen...