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ACL
2009
13 years 5 months 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...
BIOINFORMATICS
2005
70views more  BIOINFORMATICS 2005»
13 years 7 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
13 years 9 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
13 years 2 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
ACL
2008
13 years 9 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