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» Improving Web Search Relevance with Semantic Features
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ECIR
2009
Springer
14 years 5 months ago
Joint Ranking for Multilingual Web Search
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong
SIGIR
2009
ACM
14 years 1 months ago
Page hunt: improving search engines using human computation games
There has been a lot of work on evaluating and improving the relevance of web search engines. In this paper, we suggest using human computation games to elicit data from players t...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
COLCOM
2008
IEEE
14 years 3 months ago
Combining Social Networks and Semantic Web Technologies for Personalizing Web Access
Abstract. The original purpose of Web metadata was to protect endusers from possible harmful content and to simplify search and retrieval. However they can also be exploited in mor...
Barbara Carminati, Elena Ferrari, Andrea Perego
ACL
2009
13 years 6 months ago
Generalizing over Lexical Features: Selectional Preferences for Semantic Role Classification
This paper explores methods to alleviate the effect of lexical sparseness in the classification of verbal arguments. We show how automatically generated selectional preferences ar...
Beñat Zapirain, Eneko Agirre, Lluís ...
WWW
2007
ACM
14 years 9 months ago
Measuring semantic similarity between words using web search engines
Semantic similarity measures play important roles in information retrieval and Natural Language Processing. Previous work in semantic web-related applications such as community mi...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...