Relation extraction is the task of finding semantic relations between two entities from text. In this paper, we propose a novel feature-based Chinese relation extraction approach ...
The growing popularity of hypertext navigation systems and the availability of large documentary databases is leading to the design of navigation systems that allow to explore the...
Frantz Vichot, Francis Wolinski, Joseph Tomeh, Syl...
The widespread use of mobile devices brings opportunities to capture large-scale, continuous information about human behavior. Mobile data has tremendous value, leading to busines...
This paper presents a method for automatically generating an association thesaurus from a text corpus, and demonstrates its application to information retrieval. The thesaurus gen...
Abstract. In this paper, we mainly explore the effectiveness of two kernelbased methods, the convolution tree kernel and the shortest path dependency kernel, for Chinese relation e...