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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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Abstract:
This paper describes the resource- and system-building efforts of an eight-week Johns Hopkins University Human Language Technology Center of Excellence Summer Camp for Applied Language Exploration (SCALE-2009) on Semantically-Informed Machine Translation (SIMT). We describe a new modality/negation (MN) annotation scheme, the creation of a (publicly available) MN lexicon, and two automated MN taggers that we built using the annotation scheme and lexicon. 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). We describe how our MN lexicon was semi-automatically produced and we demonstrate that a structure-based MN tagger results in precision around 86% (depending on genre) for tagging of a standard LDC data set. We apply our MN annotation scheme to statistical machine translation using a syntactic framework that supports the inclusion of ... : 28 pages, 13 figures, 2 tables; appeared in Computational Linguistics, 38(2):411-438, 2012 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; I.2.7; I.2.6; I.5.1; I.5.4; Machine Learning cs.LG; Machine Learning stat.ML
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URL: https://arxiv.org/abs/1502.01682 https://dx.doi.org/10.48550/arxiv.1502.01682
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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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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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