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» Semantic Decomposition for Question Answering
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KDD
2003
ACM
157views Data Mining» more  KDD 2003»
14 years 9 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
SIGIR
2006
ACM
14 years 2 months ago
The role of knowledge in conceptual retrieval: a study in the domain of clinical medicine
Despite its intuitive appeal, the hypothesis that retrieval at the level of “concepts” should outperform purely term-based approaches remains unverified empirically. In addit...
Jimmy J. Lin, Dina Demner-Fushman
CIKM
2005
Springer
14 years 2 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
ICCBR
2001
Springer
14 years 1 months ago
A Case-Based Reasoning View of Automated Collaborative Filtering
From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be...
Conor Hayes, Padraig Cunningham, Barry Smyth
NLPRS
2001
Springer
14 years 29 days ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...