@inproceedings{fc79fbb65773499885e44ae9c1f9a9b0,
title = "Learning and inference for clause identification",
abstract = "This paper presents an approach to partial parsing of natural language sentences that makes global inference on top of the outcome of hierarchically learned local classifiers. The best decomposition of a sentence into clauses is chosen using a dynamic programming based scheme that takes into account previously identified partial solutions. This inference scheme applies learning at several levels-when identifying potential clauses and when scoring partial solutions. The classifiers are trained in a hierarchical fashion, building on previous classifications. The method presented significantly outperforms the best methods known so far for clause identification.",
author = "Xavier Carreras and Llu{\'i}s M{\`a}rquez and Vasin Punyakanok and Dan Roth",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; 13th European Conference on Machine Learning, ECML 2002 ; Conference date: 19-08-2002 Through 23-08-2002",
year = "2002",
doi = "10.1007/3-540-36755-1_4",
language = "English (US)",
isbn = "9783540440369",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "35--47",
editor = "Tapio Elomaa and Heikki Mannila and Hannu Toivonen",
booktitle = "Machine Learning",
address = "Germany",
}