A novel use of statistical parsing to extract information from text
S. Miller, H. Fox, L. Ramshaw, and R. Weischedel. Proceedings of the first conference on North American chapter of the Association for Computational Linguistics, page 226--233. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2000)
Abstract
Since 1995, a few statistical parsing algorithms have demonstrated a breakthrough in parsing accuracy, as measured against the UPenn TREEBANK as a gold standard. In this paper we report adapting a lexicalized, probabilistic context-free parser to information extraction and evaluate this new technique on MUC-7 template elements and template relations.
%0 Conference Paper
%1 Miller2000
%A Miller, Scott
%A Fox, Heidi
%A Ramshaw, Lance
%A Weischedel, Ralph
%B Proceedings of the first conference on North American chapter of the Association for Computational Linguistics
%C San Francisco, CA, USA
%D 2000
%I Morgan Kaufmann Publishers Inc.
%K information_extraction probabilistic uncertainty
%P 226--233
%T A novel use of statistical parsing to extract information from text
%U http://portal.acm.org/citation.cfm?id=974335
%X Since 1995, a few statistical parsing algorithms have demonstrated a breakthrough in parsing accuracy, as measured against the UPenn TREEBANK as a gold standard. In this paper we report adapting a lexicalized, probabilistic context-free parser to information extraction and evaluate this new technique on MUC-7 template elements and template relations.
@inproceedings{Miller2000,
abstract = {Since 1995, a few statistical parsing algorithms have demonstrated a breakthrough in parsing accuracy, as measured against the UPenn TREEBANK as a gold standard. In this paper we report adapting a lexicalized, probabilistic context-free parser to information extraction and evaluate this new technique on MUC-7 template elements and template relations.},
added-at = {2009-03-12T15:42:50.000+0100},
address = {San Francisco, CA, USA},
author = {Miller, Scott and Fox, Heidi and Ramshaw, Lance and Weischedel, Ralph},
biburl = {https://www.bibsonomy.org/bibtex/226be93c9116168330e369feb00421259/lillejul},
booktitle = {Proceedings of the first conference on North American chapter of the Association for Computational Linguistics},
citeulike-article-id = {2972761},
interhash = {2b0b5b79672ded58bd48ee6723291f8d},
intrahash = {26be93c9116168330e369feb00421259},
keywords = {information_extraction probabilistic uncertainty},
location = {Seattle, Washington},
pages = {226--233},
posted-at = {2008-07-08 15:48:08},
priority = {2},
publisher = {Morgan Kaufmann Publishers Inc.},
timestamp = {2009-04-22T10:29:37.000+0200},
title = {A novel use of statistical parsing to extract information from text},
url = {http://portal.acm.org/citation.cfm?id=974335},
year = 2000
}