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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
Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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4
A Modality Lexicon and its use in Automatic Tagging ...
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5
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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6
Computing Lexical Contrast ...
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7
Measuring Degrees of Semantic Opposition ...
Mohammad, Saif M.; Dorr, Bonnie J.; Hirst, Graeme. - : National Research Council Canada, 2011
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8
Measuring Variability in Sentence Ordering for News Summarization
Klavans, Judith L.; Madnani, Nitin; Passonneau, Rebecca. - : Proceeding ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation, 2007
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9
Multiple Alternative Sentene Compressions as a Tool for Automatic Summarization Tasks
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10
Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
In: DTIC (2006)
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11
Deriving verbal and compositional lexical aspect for NLP applications
In: The language of time (Oxford, 2005), p. 115-128
MPI für Psycholinguistik
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12
Use of Minimal Lexical Conceptual Structures for Single-Document Summarization
In: DTIC (2004)
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13
Symbolic MT With Statistical NLP Components
In: DTIC (2004)
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14
Use of OCR for Rapid Construction of Bilingual Lexicons
In: DTIC (2003)
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15
A Similarity-Based Approach and Evaluation Methodology for Reduction of Drug Name Confusion
In: DTIC (2003)
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16
Construction of a Chinese-English Verb Lexicon for Embedded Machine Translation in Cross-Language Information Retrieval
In: DTIC (2002)
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17
Generating a Parsing Lexicon From Lexical-Conceptual Structure
In: DTIC (2002)
Abstract: This paper describes the generation of a lexicon for a principle-based parser (Minipar [5,%1) using descriptions of verbs based on Lexical-Conceptual Structure (LCS [1,21).1 We aim to determine how much syntactic information we can obtain from a semantic- based lexicon. More specifically, we aim to provide a general approach to projection of syntactic entries from semantic (language-independent) lexicons-and to test the effect of such lexicons on parser performance. Verbs are grouped together into classes-each denoted by an LCS representation adn the thematic grid. These are mapped systematically into syntactic categories associated with entries in the Minipar parser. The main advantage of this LCS-to-syntax projection is language potability: We currently have LCS lexicons for English, Arabic, Spanish, and Chinese; thus, our LCS-projection approach allows us to produce syntactic lexicons for parsing in each of these languages. For comparing the performance of the projection from the LCS to Minipar coes, we also generated the mappings for the codes of Longman's Directionary of Contemporary English (LDOCE [81)-the most comprehensive online dictionary for syntactic categorization. Preliminary experiments indicate that our approach yields a categorization of verbs with 58% precision and 65% recall as measured against LDOCE-with an improved precision of 74% when redundancy is removed. The next section presents a brief description of each code set we use. In Section 3, we explain how we generated Minipar codes from LCS representation. Finally, Section 4, discusses our experiments and results. ; Additional report. no. UMIACS-TR-2002-14.
Keyword: *ENGLISH LANGUAGE; *LEXICOGRAPHY; *SPANISH LANGUAGE; *SYNTAX; *VOCABULARY; CHINA; CODING; DICTIONARIES; GRIDS; Linguistics; ONLINE SYSTEMS; PARSERS; REDUNDANCY; YIELD
URL: http://www.dtic.mil/docs/citations/ADA458773
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458773
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18
Improved Word-Level Alignment: Injecting Knowledge about MT Divergences
In: DTIC (2002)
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19
Constraints on the Generation of Tense, Aspect, and Connecting Words from Temporal Expressions
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20
Building a Chinese-English Mapping Between Verb Concepts for Multilingual Applications
In: DTIC (2001)
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