A Look at Parsing and Its Applications

A Look at Parsing and Its Applications (2006)

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by Matthew Lease , Eugene Charniak , Mark Johnson , David Mcclosky

Venue:	In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06
Citations:	5 - 2 self

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@INPROCEEDINGS{Lease06alook,
    author = {Matthew Lease and Eugene Charniak and Mark Johnson and David Mcclosky},
    title = {A Look at Parsing and Its Applications},
    booktitle = {In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06},
    year = {2006},
    pages = {16--20}
}

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Abstract

This paper provides a brief introduction to recent work in statistical parsing and its applications. We highlight successes to date, remaining challenges, and promising future work.

Citations

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324	Statistical Parsing with a Context-Free Grammar and Word Statistics - Charniak - 1997
261	Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking - Charniak, Johnson - 2005
220	Discriminative Reranking for Natural Language Parsing - Collins - 2000
103	Better k-best parsing - Huang, Chiang - 2005
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71	Immediate-head parsing for language models - Charniak - 2001
57	Effective self-training for parsing - McClosky, Charniak, et al. - 2006
56	Interpolating between types and tokens by estimating power-law generators - Goldwater, Griffiths, et al. - 2006
54	Probabilistic top-down parsing and language modeling - Roark - 2001
44	Bootstrapping statistical parsers from small datasets - Steedman, Osborne, et al. - 2003
42	Edit detection and parsing for transcribed speech - Charniak, Johnson - 2001
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