A novel use of statistical parsing to extract information from text (2000)
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by
Scott Miller
,
Heidi Fox
,
Lance Ramshaw
,
Ralph Weischedel
| Venue: | ANLP |
| Citations: | 78 - 4 self |
BibTeX
@ARTICLE{Miller00anovel,
author = {Scott Miller and Heidi Fox and Lance Ramshaw and Ralph Weischedel},
title = {A novel use of statistical parsing to extract information from text},
journal = {ANLP},
year = {2000},
pages = {226--233}
}
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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.
Citations
| 1654 | B.: Building a large annotated corpus of english: The Penn treebank - Marcus, Marcinkiewicz, et al. - 1993 |
| 427 | Three Generative, Lexicalised Models for Statistical Parsing - Collins - 1997 |
| 396 | New Statistical Parser Based on Bigram Lexical De-pendencies - Collins - 2006 |
| 42 | Building a Large Annotated - Marcus, Santorini, et al. - 1993 |
| 40 | Estimation of Powerful Language Models from Small and Large Corpora - Placeway, Schwartz, et al. - 1993 |
| 36 | Global thresholding and multiple-pass parsing - Goodman - 1997 |
| 4 | NYMBLE: A HighPerformance Learning Name-finder - Weischedel - 1997 |
