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IJCAI
2003
13 years 11 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
NDQA
2003
103views Education» more  NDQA 2003»
13 years 11 months ago
Combining Low-Level and Summary Representations of Opinions for Multi-Perspective Question Answering
1 While much recent progress has been made in research on fact-based question answering, our work aims to extend question-answering research in a different direction ─ to handle ...
Claire Cardie, Janyce Wiebe, Theresa Wilson, Diane...
NIPS
2003
13 years 11 months ago
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression
Nonlinear filtering can solve very complex problems, but typically involve very time consuming calculations. Here we show that for filters that are constructed as a RBF network ...
Roland Vollgraf, Michael Scholz, Ian A. Meinertzha...
ACL
1998
13 years 11 months ago
PAT-Trees with the Deletion Function as the Learning Device for Linguistic Patterns
In this study, a learning device based on the PATtree data structures was developed. The original PAT-trees were enhanced with the deletion function to emulate human learning comp...
Keh-Jiann Chen, Wen Tsuei, Lee-Feng Chien
ACL
1998
13 years 11 months ago
Dialogue Act Tagging with Transformation-Based Learning
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
Ken Samuel, Sandra Carberry, K. Vijay-Shanker