The need for evaluating large amounts of topics (queries) makes IR evaluation an uneasy task. In this paper, we study a topic selection problem for IR evaluation. The selection cr...
Jianhan Zhu, Jun Wang, Vishwa Vinay, Ingemar J. Co...
Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate...
This paper evaluates to which extent Google retrieved correct answers as responses to queries inferred from factual and topical requests in a digital Ask-a-Librarian service. 100 f...
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...
An evaluation methodology that targets ineffective topics is needed to support research on obtaining more consistent retrieval across topics. Using average values of traditional ...