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Comparing and Combining Finite-State and Context-Free Parsers
Kristy Hollingshead
|
Seeger Fisher
|
Brian Roark
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Paper Details:
Month: October
Year: 2005
Location: Vancouver, British Columbia, Canada
Venue:
EMNLP |
HLT |
SIG: SIGDAT
Citations
URL
Accelerated Training of Maximum Margin Markov Models for Sequence Labeling: A Case Study of NP Chunking
Xiaofeng Yu
|
Wai Lam
|
Finite-State Chart Constraints for Reduced Complexity Context-Free Parsing Pipelines
Brian Roark
|
Kristy Hollingshead
|
Nathan Bodenstab
|
Probabilistic Context-Free Grammar Induction Based on Structural Zeros
Mehryar Mohri
|
Brian Roark
|
Linear Complexity Context-Free Parsing Pipelines via Chart Constraints
Brian Roark
|
Kristy Hollingshead
|
The utility of parse-derived features for automatic discourse segmentation
Seeger Fisher
|
Brian Roark
|
Pipeline Iteration
Kristy Hollingshead
|
Brian Roark
|
Simple Unsupervised Grammar Induction from Raw Text with Cascaded Finite State Models
Elias Ponvert
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Jason Baldridge
|
Katrin Erk
|
http://ilk.kub.nl/sabine/chunklink/
http://www.cnts.ua.ac.be/conll2000/chunking/
Field Of Study
Linguistic Trends
Discourse
Task
Chunking
Question Answering
Language
English
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