Temporal expressions in texts contain significant temporal information. Understanding temporal information is very useful in many NLP applications, such as information extraction,...
Users prefer to navigate subjects from organized topics in an abundance resources than to list pages retrieved from search engines. We propose a framework to cluster frequent items...
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
Discovering different types of file resources (such as documentation, programs, and images) in the vast amount of data contained within network file systems is useful for both u...
This paper describes the participation of Columbus Project of Microsoft Research Asia (MSRA) in the GeoCLEF 2006 (a cross-language geographical retrieval track which is part of Cr...
Zhisheng Li, Chong Wang 0002, Xing Xie, Xufa Wang,...