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» A Machine Learning Approach to Information Extraction
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FQAS
2009
Springer
181views Database» more  FQAS 2009»
15 years 6 months ago
Interlingual Information Extraction as a Solution for Multilingual QA Systems
Information extraction systems have been dealt with at length from the viewpoint of users posing definite questions whose expected answer is to be found in a document collection. T...
Jesús Cardeñosa, Carolina Gallardo, ...
LREC
2008
110views Education» more  LREC 2008»
15 years 1 months ago
Cost-Sensitive Learning in Answer Extraction
One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
Michael Wiegand, Jochen L. Leidner, Dietrich Klako...
ACL
2011
14 years 3 months ago
Template-Based Information Extraction without the Templates
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...
Nathanael Chambers, Dan Jurafsky
EMNLP
2009
14 years 9 months ago
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Kedar Bellare, Andrew McCallum
ICCSA
2005
Springer
15 years 5 months ago
Semantic Annotation of Biomedical Literature Using Google
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical informa...
Rune Sætre, Amund Tveit, Tonje Strommen Stei...