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1
Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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2
Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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3
Modeling Leadership Behavior of Players in Virtual Worlds
In: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment; Vol. 11 No. 1 (2015): Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference ; 2334-0924 ; 2326-909X (2015)
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4
Modeling Sociocultural phenomena in discourse
In: Natural language engineering. - Cambridge : Cambridge University Press 19 (2013) 2, 213-257
OLC Linguistik
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5
HITIQA: high-quality intelligence through interactive question answering
In: Natural language engineering. - Cambridge : Cambridge University Press 15 (2009) 1, 31-54
BLLDB
OLC Linguistik
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6
Information retrieval
In: The Oxford handbook of computational linguistics (New York, 2009), p. 529-544
MPI für Psycholinguistik
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7
The AMITIÉS system : data-driven techniques for automated dialogue
In: Speech communication. - Amsterdam [u.a.] : Elsevier 48 (2006) 3-4, 354-373
BLLDB
OLC Linguistik
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8
Advances in open domain question answering
Strzalkowski, Tomek (Hrsg.); Harabagiu, Sanda. - Dordrecht : Springer, 2006
IDS Mannheim
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9
Advances in open domain question answering
Harabagiu, Sanda M. (Hrsg.); Strzalkowski, Tomek (Hrsg.). - Dordrecht : Springer, 2006
BLLDB
UB Frankfurt Linguistik
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10
HITIQA: A Data Driven Approach to Interactive Analytical Question Answering
In: DTIC (2004)
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11
HITIQA: Towards Analytical Question Answering
In: DTIC (2004)
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12
HITIQA: An Interactive Question Answering System. A Preliminary Report
In: DTIC (2003)
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13
Dialogue Management for an Automated Multilingual Call Center
In: DTIC (2003)
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14
Book Reviews - Natural Language Information Retrieval
In: Computational linguistics. - Cambridge, Mass. : MIT Press 26 (2000) 3, 460-462
OLC Linguistik
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15
Natural language information retrieval
Strzalkowski, Tomek (Hrsg.). - Dordrecht ; Boston [u.a.] : Kluwer, 1999
IDS Mannheim
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16
Natural language information retrieval
Kupiec, Julian (Mitarb.); Leistensnider, James (Mitarb.); Riloff, Ellen (Mitarb.). - Dordrecht [u.a.] : Kluwer, 1999
BLLDB
UB Frankfurt Linguistik
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17
Building Effective Queries in Natural Language Information Retrieval
In: DTIC (1997)
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18
Recent advances in parsing technology
Raaijmakers, Stephan (Mitarb.); Rönnquist, Ralph (Mitarb.); Strzalkowski, Tomek (Mitarb.). - Dordrecht [u.a.] : Kluwer, 1996
BLLDB
UB Frankfurt Linguistik
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19
NLP Track at TREC-5
In: DTIC (1996)
Abstract: The Natural Language Processing (NLP) track was organized for the first time at TREC-5 to provide a more focused look at how NLP techniques can improve performance in information retrieval (IR). The intent was to see if the NLP techniques available today are mature enough to have an impact on IR, and whether they offer an advantage over purely quantitative methods. TREC-5 also was the place to try more expensive and more risky solutions than those used in main TREC evaluations. This NLP track demonstrated that NLP techniques have a solid but limited impact on the quality of text retrieval, particularly precision. Techniques aimed at producing higher quality queries, (e.g., query expansion, constraints) appear to be more effective than those aimed primarily at obtaining improved indexing of database documents. More work is needed before substantial gains can be seen, including the use of more advanced and expensive semantic analysis techniques. Figure 2 summarizes the NLP techniques that have been tried in information retrieval, and what their potential might be for improving retrieval precision. This chart was discussed at the NLP track workshop on the last day of TREC-5. The consensus was that NLP techniques that show particular promise in relatively small-scale track evaluations should be transferred to main evaluations as soon as practical. ; Presented at the Text Retrieval Conference (TREC-5) (5th) held in Gaithersburg, MD, on 20-22 Nov 1996. The original document contains color images.
Keyword: *INFORMATION RETRIEVAL; *MACHINE INDEXING; *NATURAL LANGUAGE; *PHRASE INDEXING; *PRECISION; *PROCESSING; *QUALITY; *SUBJECT INDEXING; AUTOMATION; BIGRAMS; CONCEPT TAGGING; DATA BASES; DOCUMENTS; Information Science; Linguistics; MACHINE TRANSLATION; MANUAL OPERATION; PARSERS; PHRASE EXTRACTION; PHRASE-BASED INDEXING; QUERY EXPANSION; SEARCHING; SINGLE-WORD INDEXING; STATISTICAL PHRASES; SYNTACTIC ANALYSIS; SYNTACTIC PHRASES; SYNTAX; TEST AND EVALUATION; WORKSHOPS
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA470634
http://www.dtic.mil/docs/citations/ADA470634
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20
Natural Language Information Retrieval: Tipster-2 Final Report
In: DTIC (1996)
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