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1	The specification language timeML
	Pustejovsky, James; Ingria, Robert J.P.; Sauri, Roser...
	In: The language of time (Oxford, 2005), p. 545-558
	MPI für Psycholinguistik
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2	Automating the lexicon : research and practice in a multilingual environment
	Cumming, Susanna (Mitarb.); Armstrong-Warwick, Susan (Mitarb.); Kegl, Judy A. (Mitarb.). - Oxford [u.a.] : Oxford Univ. Press, 1995
	BLLDB
	UB Frankfurt Linguistik
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3	Lexical information for parsing systems : points of convergence and divergence
	Ingria, Robert J.P.
	In: Automating the lexicon (Oxford, 1995), p. 93-170
	MPI für Psycholinguistik
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4	ATIS3 Test Data
	Dahl, Deborah A.; Bates, Madeleine; Brown, Michael. - : Linguistic Data Consortium, 1995. : https://www.ldc.upenn.edu, 1995
	BASE
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5	ATIS3 Test Data ...
	Dahl, Deborah A.; Bates, Madeleine; Brown, Michael. - : Linguistic Data Consortium, 1995
	BASE
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6	BBN: Description of the PLUM System as Used for MUC-6
	Weischedel, Ralph; Ayuso, Damaris; Bikel, Daniel...
	In: DTIC (1995)
	BASE
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7	ATIS3 Training Data
	Dahl, Deborah A.; Bates, Madeleine; Brown, Michael. - : Linguistic Data Consortium, 1994. : https://www.ldc.upenn.edu, 1994
	BASE
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8	ATIS3 Training Data ...
	Dahl, Deborah A.; Bates, Madeleine; Brown, Michael. - : Linguistic Data Consortium, 1994
	BASE
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9	The Delphi Natural Language Understanding System
	Batges, Madeleine; Bobrow, Robert; Ingria, Robert...
	In: DTIC (1994)
	BASE
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10	Adjectives, nominals, and the status of arguments
	Ingria, Robert J.P.; George, Leland M.
	In: Semantics and the lexicon (Dordrecht, 1993), p. 107-128
	MPI für Psycholinguistik
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11	Adjectives, nominals, and the status of arguments
	Ingria, Robert J. P.; George, Leland M.
	In: Semantics and the lexicon. - Dordrecht [u.a.] : Kluwer (1993), 107-127
	BLLDB
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12	ATIS2
	Garofolo, John S.; Fiscus, Jonathan G.; Hunicke-Smith, Kate. - : Linguistic Data Consortium, 1993. : https://www.ldc.upenn.edu, 1993
	BASE
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13	ATIS2 ...
	Garofolo, John S.; Fiscus, Jonathan G.; Hunicke-Smith, Kate. - : Linguistic Data Consortium, 1993
	BASE
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14	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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15	A New Approach to Text Understanding
	Weischedel, Ralph; Ayuso, Damaris; Boisen, Sean...
	In: DTIC (1992)
	BASE
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16	BBN: Description of the PLUM System as Used for MUC-4
	Ayuso, Damaris; Boisen, Sean; Fox, Heidi...
	In: DTIC (1992)
	BASE
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17	BBN PLUM: MUC-4 Test Results and Analysis
	Weischedel, Ralph; Ayuso, Damaris; Boisen, Sean; Fox, Heidi; Gish, Herbert; Ingria, Robert
	In: DTIC (1992)
	Abstract: Our mid-term to long-term goals in data extraction from text for the next one to three years are to achieve much greater portability to new languages and new domains, greater robustness, and greater scalability. The novel aspect to our approach is the use of learning algorithms and probabilistic models to learn the domain-specific and language. specific knowledge necessary for a new domain and new language. Learning algorithms should contribute to scalability by making it feasible to deal with domains where it would be infeasible to invest sufficient human effort to bring a system up. Probabilistic models can contribute to robustness by allowing for words, constructions, and forms not anticipated ahead of time and by looking for the most likely interpretation in context. We began this research agenda approximately two years ago. During the last twelve months, we have focused much of our effort on porting our data extraction system (PLUM) to a new language (Japanese) and to two new domains. During the next twelve months, we anticipate porting PLUM to two or three additional domains. For any group to participate in MUC is a significant investment. To be consistent with our mid-term and long- term goals, we imposed the following constraints on ourselves in participating in MUC-4: * We would focus our effort on semi-automatically acquired knowledge. * We would minimize effort on handcrafted knowledge, and most generally. * We would minimize MUC-specific effort. Though the three self-imposed constraints meant our overall scores on the objective evaluation were not as high as if we had focused on handtuning and handcrafting the knowledge bases, MUC-4 became a vehicle for evaluating our progress on the long-term goals. ; Presented at the Message Understanding Conference (4th) (MUC-4), held in McLean, VA on 16-18 June 1992. Pub. in the Proceedings of Message Understanding Conference (4th) (MUC-4), 1992. Paper 92-1007. Sponsored in part by the Defense Advanced Research Projects Agency (DARPA).
	Keyword: INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; LANGUAGE TRANSLATION; MATHEMATICAL MODELS; MESSAGE UNDERSTANDING; PROBABILISTIC LANGUAGE UNDERSTANDING MODELS; *TEXT PROCESSING; ALGORITHMS; COMPUTATIONAL LINGUISTICS; Cybernetics; GRAMMARS; Information Science; JAPANESE LANGUAGE; LEARNING ALGORITHMS; Linguistics; MARKOV MODELS; PARSERS; PARTIAL UNDERSTANDING; PLUM(PROBABILISTIC LANGUAGE UNDERSTANDING MODEL); PRECISION; PROBABILITY; RECALL; STATISTICAL ALGORITHMS; SYMPOSIA; TEST AND EVALUATION; TEXT CLASSIFICATION
	URL: http://www.dtic.mil/docs/citations/ADA460688 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460688
	BASE
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18	BBN BYBLOS and HARC February 1992 ATIS Benchmark Results
	Kubala, Francis; Barry, Chris; Bates, Madeleine...
	In: DTIC (1992)
	BASE
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19	BBN PLUM: MUC-3 Test Results and Analysis
	Weischedel, Ralph; Ayuso, Damaris; Boisen, Sean...
	In: DTIC (1991)
	BASE
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20	BBN: Description of the PLUM System as Used for MUC-3
	Weischedel, Ralph; Ayuso, Damaris; Boisen, Sean...
	In: DTIC (1991)
	BASE
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