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» Can Document Selection Help Semi-supervised Learning
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EMNLP
2008
13 years 11 months ago
Selecting Sentences for Answering Complex Questions
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
Yllias Chali, Shafiq R. Joty
TOIS
2008
145views more  TOIS 2008»
13 years 9 months ago
Classification-aware hidden-web text database selection
Many valuable text databases on the web have non-crawlable contents that are "hidden" behind search interfaces. Metasearchers are helpful tools for searching over multip...
Panagiotis G. Ipeirotis, Luis Gravano
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
14 years 10 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...
WWW
2004
ACM
14 years 10 months ago
Incremental formalization of document annotations through ontology-based paraphrasing
For the manual semantic markup of documents to become widespread, users must be able to express annotations that conform to ontologies (or schemas) that have shared meaning. Howev...
Jim Blythe, Yolanda Gil
ICMCS
1999
IEEE
131views Multimedia» more  ICMCS 1999»
14 years 2 months ago
A Method for Evaluating Multimedia Learning Software
We submit a method (EMPI: Evaluation of Multimedia, Pedagogical and Interactive software) to evaluate multimedia software used in educational context. Our purpose is to help users...
Stéphane Crozat, Olivier Hû, Philippe...