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ICML
2000
IEEE
16 years 7 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
SOFSEM
2007
Springer
16 years 12 days ago
Creating Permanent Test Collections of Web Pages for Information Extraction Research
In the research area of automatic web information extraction, there is a need for permanent and annotated web page collections enabling objective performance evaluation of differen...
Bernhard Pollak, Wolfgang Gatterbauer
ECAI
2004
Springer
15 years 11 months ago
Stacked Generalization for Information Extraction
1 This paper defines a new stacked generalization framework in the context of information extraction (IE) from online sources. The proposed setting removes the constraint of apply...
Georgios Sigletos, Georgios Paliouras, Constantine...
ACCV
2006
Springer
15 years 10 months ago
Self-calibration Based 3D Information Extraction and Application in Broadcast Soccer Video
This paper proposes a new method based on self-calibration to estimate the ball's 3D position in broadcast soccer video. According to the physical limitation, the ball's ...
Yang Liu, Dawei Liang, Qingming Huang, Wen Gao
LREC
2010
146views Education» more  LREC 2010»
15 years 7 months ago
Using Dialogue Corpora to Extend Information Extraction Patterns for Natural Language Understanding of Dialogue
This paper examines how Natural Language Process (NLP) resources and online dialogue corpora can be used to extend coverage of Information Extraction (IE) templates in a Spoken Di...
Roberta Catizone, Alexiei Dingli, Robert J. Gaizau...