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» Querying Probabilistic Information Extraction
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IJCAI
2007
13 years 9 months ago
What You Seek Is What You Get: Extraction of Class Attributes from Query Logs
Within the larger area of automatic acquisition of knowledge from the Web, we introduce a method for extracting relevant attributes, or quantifiable properties, for various class...
Marius Pasca, Benjamin Van Durme
ICADL
2003
Springer
145views Education» more  ICADL 2003»
14 years 25 days ago
Towards Web Mining of Query Translations for Cross-Language Information Retrieval in Digital Libraries
This paper proposes an efficient client-server-based query translation approach to allowing more feasible implementation of cross-language information retrieval (CLIR) services in ...
Wen-Hsiang Lu, Jenq-Haur Wang, Lee-Feng Chien
CIKM
2009
Springer
13 years 5 months ago
Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments
Research on relevance feedback (RFB) in information retrieval (IR) has given mixed results. Success in RFB seems to depend on the searcher's willingness to provide feedback a...
Kalervo Järvelin
WWW
2007
ACM
14 years 8 months ago
Topic sentiment mixture: modeling facets and opinions in weblogs
In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously....
Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, Che...
CIKM
2005
Springer
14 years 1 months ago
Predicting accuracy of extracting information from unstructured text collections
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Eugene Agichtein, Silviu Cucerzan