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Simple Search
Hits 1 – 12 of 12
1
BBN: Description of the PLUM System as Used for MUC-6
Weischedel, Ralph
;
Ayuso, Damaris
;
Bikel, Daniel
...
In: DTIC (1995)
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2
BBN: Description of the PLUM System as Used for MUC-5
Weischedel, Ralph
;
Ayuso, Damaris
;
Boisen, Sean
...
In: DTIC (1993)
BASE
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3
BBN's PLUM Probabilistic Language Understanding System
Weischedel, Ralph
;
Ayuso, Damaris
;
Boisen, Sean
...
In: DTIC (1993)
BASE
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4
A Practical Methodology for the Evaluation of Spoken Language Systems
Boisen, Sean
;
Bates, Madeleine
In: DTIC (1992)
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5
A New Approach to Text Understanding
Weischedel, Ralph
;
Ayuso, Damaris
;
Boisen, Sean
...
In: DTIC (1992)
BASE
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6
BBN: Description of the PLUM System as Used for MUC-4
Ayuso, Damaris
;
Boisen, Sean
;
Fox, Heidi
...
In: DTIC (1992)
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7
BBN PLUM: MUC-4 Test Results and Analysis
Weischedel, Ralph
;
Ayuso, Damaris
;
Boisen, Sean
...
In: DTIC (1992)
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8
BBN PLUM: MUC-3 Test Results and Analysis
Weischedel, Ralph
;
Ayuso, Damaris
;
Boisen, Sean
...
In: DTIC (1991)
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9
BBN: Description of the PLUM System as Used for MUC-3
Weischedel, Ralph
;
Ayuso, Damaris
;
Boisen, Sean
...
In: DTIC (1991)
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10
Adaptive Natural Language Processing
Ayuso, Damaris
;
Boisen, Sean
;
Bobrow, Robert
;
Gish, Herbert
;
Ingria, Robert
In: DTIC AND NTIS (1991)
Abstract:
A handful of special purpose systems have been successfully deployed to extract prespecified kinds of data from text. The limitation to widespread deployment of such systems is their assumption of a large volume of handcrafted, domain-dependent, and language-dependent knowledge in the form of rules. A new approach is to add automatically trainable probabilistic language models to linguistically based analysis. This offers several potential advantages: (1) Trainability by finding patterns in a large corpus, rather than handcrafting such patterns. (2) Improvability be re-estimating probabilities based on a user marking correct and incorrect output on a test set. (3) More accurate selection among interpretations when more than one is produced. (4) Robustness by finding the most likely partial interpretation when no complete interpretation can be found.
Keyword:
*INFORMATION PROCESSING
;
*MESSAGE PROCESSING
;
*NATURAL LANGUAGE
;
*VOLUME
;
ACCURACY
;
ADAPTIVE SYSTEMS
;
CLASSIFICATION
;
INFORMATION PROCESSING
;
Information Science
;
LANGUAGE
;
Linguistics
;
MARKERS
;
MODELS
;
NATURAL LANGUAGE
;
PARSERS
;
PATTERNS
;
PE61101E
;
PILOT STUDIES
;
PROBABILITY
;
SELECTION
;
SEMANTICS
;
TEST SETS
;
TEXT
;
TRAINING
;
USER NEEDS
;
WURLG302QA01
URL:
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA241336
http://www.dtic.mil/docs/citations/ADA241336
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11
The BBN Spoken Language System
Boisen, Sean
;
Chow, Yen-Lu
;
Haas, Andrww
...
In: DTIC (1989)
BASE
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12
Morphology as a computational problem
Dolan, William B.
(Mitarb.);
Emmorey, Karen
(Mitarb.);
Cornell, Thomas Longacre
(Mitarb.). - Los Angeles : Univ. of California, Dep. of Linguistics, 1988
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UB Frankfurt Linguistik
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