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Simple Search
Hits 1 – 15 of 15
1
Automatic domain adaptation for parsing
McClosky, David
;
Charniak, Eugene
;
Johnson, Mark
. - : Stroudsburg, PA : Association for Computational Linguistics, 2010
BASE
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2
Structured generative models for unsupervised named-entity clustering
Elsner, Micha
;
Charniak, Eugene
;
Johnson, Mark
. - : East Stroudsburg, PA : Association for Computational Linguistics, 2009
BASE
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3
BLLIP North American News Text, Complete
McClosky, David
;
Charniak, Eugene
;
Johnson, Mark
. - : Linguistic Data Consortium, 2008. : https://www.ldc.upenn.edu, 2008
BASE
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4
BLLIP North American News Text, General Release
McClosky, David
;
Charniak, Eugene
;
Johnson, Mark
. - : Linguistic Data Consortium, 2008. : https://www.ldc.upenn.edu, 2008
BASE
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5
BLLIP North American News Text, General Release ...
McClosky, David
;
Charniak, Eugene
;
Johnson, Mark
. - : Linguistic Data Consortium, 2008
BASE
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6
BLLIP North American News Text, Complete ...
McClosky, David
;
Charniak, Eugene
;
Johnson, Mark
. - : Linguistic Data Consortium, 2008
BASE
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7
When is self-training effective for parsing?
McClosky, David
;
Charniak, Eugene
;
Johnson, Mark
. - : Stroudsburg, Pa : Association for Computational Linguistics, 2008
BASE
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8
Recognizing disfluencies in conversational speech
Charniak, Eugene
;
Lease, Matthew
;
Johnson, Mark
In:
Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst.
14 (2006) 5, 1566-1573
BLLDB
OLC Linguistik
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9
Effective Self-Training for Parsing
McClosky, David
;
Charniak, Eugene
;
Johnson, Mark
. - : East Stroudsburg, PA : ACL, 2006
BASE
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10
Recognizing disfluencies in conversational speech
Lease, Matthew
;
Johnson, Mark
;
Charniak, Eugene
. - : IEEE, 2006
BASE
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11
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
Charniak, Eugene
;
Johnson, Mark
. - : East Stroudsburg, PA : Association for Computational Linguistics, 2005
Abstract:
Discriminative reranking is one method for constructing high-performance statistical parsers (Collins, 2000). A discriminative reranker requires a source of candidate parses for each sentence. This paper describes a simple yet novel method for constructing sets of 50-best parses based on a coarse-to-fine generative parser (Charniak, 2000). This method generates 50-best lists that are of substantially higher quality than previously obtainable. We used these parses as the input to a MaxEnt reranker (Johnson et al., 1999; Riezler et al., 2002) that selects the best parse from the set of parses for each sentence, obtaining an f-score of 91.0% on sentences of length 100 or less. ; 8 page(s)
Keyword:
080100 Artificial Intelligence and Image Processing
;
200400 Linguistics
URL:
http://hdl.handle.net/1959.14/154926
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12
A TAG-based noisy channel model of speech repairs
Johnson, Mark
;
Charniak, Eugene
. - : East Stroudsburg, PA : Association for Computational Linguistics, 2004
BASE
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13
Sentence-Internal Prosody Does not Help Parsing the Way Punctuation Does
Gregory, M
;
Johnson, Mark
;
Charniak, Eugene
. - : East Stroudsburg, PA : Association for Computational Linguistics, 2004
BASE
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14
BLLIP 1987-89 WSJ Corpus Release 1
Charniak, Eugene
;
Blaheta, Don
;
Ge, Niyu
. - : Linguistic Data Consortium, 2000. : https://www.ldc.upenn.edu, 2000
BASE
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15
BLLIP 1987-89 WSJ Corpus Release 1 ...
Charniak, Eugene
;
Blaheta, Don
;
Ge, Niyu
. - : Linguistic Data Consortium, 2000
BASE
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