In this paper we study the problem of entity retrieval for news applications and the importance of the news trail history (i.e. past related articles) to determine the relevant en...
Gianluca Demartini, Malik Muhammad Saad Missen, Ro...
This paper describes an approach to digesting threads of archived discussion lists by clustering messages into approximate topical groups, and then extracting shorter overviews, a...
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
This paper presents a study of a novel summarization problem called contrastive opinion summarization (COS). Given two sets of positively and negatively opinionated sentences whic...
The present study demonstrates how the emotional content of search terms and their eventual results affects the breadth of a users' search for information. We observed the qu...