Following the tradition of these acceptance talks, I will be giving my thoughts on where our field is going. Any discussion of the future of information retrieval (IR) research, h...
In this paper, we examine how to improve the precision and recall of document clustering by utilizing meta-data. We use meta-data through NewsML tags to assist clustering and show...
This paper present a method based on the behavior of nonnative speaker for reduction sentence in foreign language. We demonstrate an algorithm using semantic information in order ...
In this paper we study the effectiveness of applying sentence compression on an extraction based multi-document summarization system. Our results show that pure syntactic-based co...
In this work, we propose a new method for extracting user preferences from a few documents that might interest users. For this end, we first extract candidate terms and choose a n...
In this paper, we propose a practical approach for extracting the most relevant paragraphs from the original document to form a summary for Thai text. The idea of our approach is ...
Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on...
This paper proposes an algorithm for causality inference based on a set of lexical knowledge bases that contain information about such items as event role, is-a hierarchy, relevan...
Key-Sun Choi, Jae-Ho Kim, Masaru Miyazaki, Jun Got...
In business, the retrieval of up-to-date, or fresh, information is very important. It is difficult for conventional search engines based on a centralized architecture to retrieve ...