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EMNLP
2007
9 years 3 months ago
Bootstrapping Information Extraction from Field Books
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
Sander Canisius, Caroline Sporleder
AAAI
2007
9 years 4 months ago
Turning Lectures into Comic Books Using Linguistically Salient Gestures
Creating video recordings of events such as lectures or meetings is increasingly inexpensive and easy. However, reviewing the content of such video may be time-consuming and difļ¬...
Jacob Eisenstein, Regina Barzilay, Randall Davis
IJCAI
2003
9 years 3 months ago
Integrating Information to Bootstrap Information Extraction from Web Sites
In this paper we propose a methodology to learn to extract domain-speciļ¬c information from large repositories (e.g. the Web) with minimum user intervention. Learning is seeded b...
Fabio Ciravegna, Alexiei Dingli, David Guthrie, Yo...
EMNLP
2009
9 years 6 days 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
RIAO
2007
9 years 3 months ago
Extracting Useful Information from the Full Text of Fiction
In this paper, we describe some experiments in large-scale Information Extraction (IE) focusing on book texts. We investigate the scalability of IE techniques to full-sized books,...
Sharon Givon, Maria Milosavljevic
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