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From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
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Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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Use of Modality and Negation in Semantically-Informed Syntactic MT
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In: DTIC (2012)
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Abstract:
Hopkins Human Language Technology Center of Excellence Summer Camp for Applied Language Exploration (SCALE-2009) on Semantically Informed Machine Translation (SIMT) (Baker et al. 2010a, 2010b, 2010c, 2010d). Specifically, we describe our modality/ negation (MN) annotation scheme, a (publicly available) MN lexicon, and two automated MNtaggers that were built using the lexicon and annotation scheme. Our annotation scheme isolates three components of modality and negation: a trigger (a word that conveys modality or negation), a target (an action associated with modality or negation), and a holder (an experiencer of modality). Two examples of MN tagging are shown in Figure 1. ; Pub. in Computational Linguistics, v38 n2 p411-438, 2012.
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Keyword:
*MACHINE TRANSLATION; LEXICOGRAPHY; Linguistics; MN(MODALITY/NEGATION); REPRINTS; SEMANTICS; SIMT(SEMANTICALLY INFORMED MACHINE TRANSLATION)
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA563998 http://www.dtic.mil/docs/citations/ADA563998
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The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics
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Measuring Variability in Sentence Ordering for News Summarization
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Multiple Alternative Sentene Compressions as a Tool for Automatic Summarization Tasks
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Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
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Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
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In: DTIC (2006)
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Combining Linguistic and Machine Learning Techniques for Word Alignment Improvement
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Use of Minimal Lexical Conceptual Structures for Single-Document Summarization
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In: DTIC (2004)
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Symbolic MT With Statistical NLP Components
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In: DTIC (2004)
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Use of OCR for Rapid Construction of Bilingual Lexicons
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In: DTIC (2003)
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