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» On performance of topical opinion retrieval
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SIGIR
2009
ACM
14 years 2 months ago
Topic (query) selection for IR evaluation
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...
FLAIRS
2007
13 years 9 months ago
Finding Data, Knowledge, and Answers on the Semantic Web
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...
Timothy W. Finin, Joel Sachs, Cynthia Sims Parr
ERCIMDL
2009
Springer
115views Education» more  ERCIMDL 2009»
14 years 2 months ago
Comparing Google to Ask-a-Librarian Service for Answering Factual and Topical Questions
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...
Pertti Vakkari, Mari Taneli
IRAL
2003
ACM
14 years 23 days ago
Improving summarization performance by sentence compression: a pilot study
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...
Chin-Yew Lin
SIGIR
2004
ACM
14 years 28 days ago
Measuring ineffectiveness
An evaluation methodology that targets ineffective topics is needed to support research on obtaining more consistent retrieval across topics. Using average values of traditional ...
Ellen M. Voorhees