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ACL
2009
15 years 7 days ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
104
Voted
BIOINFORMATICS
2005
70views more  BIOINFORMATICS 2005»
15 years 2 months ago
BioIE: extracting informative sentences from the biomedical literature
e: An interactive visualisation tool for clustering PubMed abstracts METIS: Multiple Extraction Techniques for Informative Sentences BioIE: extracting informative sentences from th...
Anna Divoli, Teresa K. Attwood
ACL
2003
15 years 3 months ago
Offline Strategies for Online Question Answering: Answering Questions Before They Are Asked
Recent work in Question Answering has focused on web-based systems that extract answers using simple lexicosyntactic patterns. We present an alternative strategy in which patterns...
Michael Fleischman, Eduard H. Hovy, Abdessamad Ech...
COLING
2010
14 years 9 months ago
Exploiting Background Knowledge for Relation Extraction
Relation extraction is the task of recognizing semantic relations among entities. Given a particular sentence supervised approaches to Relation Extraction employed feature or kern...
Yee Seng Chan, Dan Roth
104
Voted
ACL
2008
15 years 3 months ago
The Tradeoffs Between Open and Traditional Relation Extraction
Traditional Information Extraction (IE) takes a relation name and hand-tagged examples of that relation as input. Open IE is a relationindependent extraction paradigm that is tail...
Michele Banko, Oren Etzioni