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Hits 1 – 20 of 157
1
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
Mather, Brodie
;
Dorr, Bonnie J
;
Dalton, Adam
. - : arXiv, 2022
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2
Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
Dorr, Bonnie J.
;
Bhatia, Archna
;
Dalton, Adam
. - : arXiv, 2020
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3
Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
Bhatia, Archna
;
Dalton, Adam
;
Mather, Brodie
. - : arXiv, 2020
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4
Statistical modality tagging from rule-based annotations and crowdsourcing ...
Prabhakaran, Vinodkumar
;
Bloodgood, Michael
;
Diab, Mona
. - : arXiv, 2015
BASE
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5
Use of Modality and Negation in Semantically-Informed Syntactic MT ...
Baker, Kathryn
;
Bloodgood, Michael
;
Dorr, Bonnie J.
. - : arXiv, 2015
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6
A Modality Lexicon and its use in Automatic Tagging ...
Baker, Kathryn
;
Bloodgood, Michael
;
Dorr, Bonnie J.
. - : arXiv, 2014
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7
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
Baker, Kathryn
;
Bloodgood, Michael
;
Callison-Burch, Chris
. - : arXiv, 2014
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8
Computing Lexical Contrast ...
Mohammad, Saif M.
;
Dorr, Bonnie J.
;
Hirst, Graeme
;
Turney, Peter D.
. - : arXiv, 2013
Abstract:
Knowing the degree of semantic contrast between words has widespread application in natural language processing, including machine translation, information retrieval, and dialogue systems. Manually-created lexicons focus on opposites, such as {\rm hot} and {\rm cold}. Opposites are of many kinds such as antipodals, complementaries, and gradable. However, existing lexicons often do not classify opposites into the different kinds. They also do not explicitly list word pairs that are not opposites but yet have some degree of contrast in meaning, such as {\rm warm} and {\rm cold} or {\rm tropical} and {\rm freezing}. We propose an automatic method to identify contrasting word pairs that is based on the hypothesis that if a pair of words, $A$ and $B$, are contrasting, then there is a pair of opposites, $C$ and $D$, such that $A$ and $C$ are strongly related and $B$ and $D$ are strongly related. (For example, there exists the pair of opposites {\rm hot} and {\rm cold} such that {\rm tropical} is related to {\rm ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://arxiv.org/abs/1308.6300
https://dx.doi.org/10.48550/arxiv.1308.6300
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9
Use of Modality and Negation in Semantically-Informed Syntactic MT
Baker, Kathryn
;
Bloodgood, Michael
;
Dorr, Bonnie J
...
In: DTIC (2012)
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10
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
Prabhakaran, Vinodkumar
;
Bloodgood, Michael
;
Diab, Mona
. - : Association for Computational Linguistics, 2012
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11
Use of Modality and Negation in Semantically-Informed Syntactic MT
Bloodgood, Michael
;
Filardo, Nathaniel
;
Levin, Lori
. - : MIT Press, 2012
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12
Citation Handling: Processing Citation Texts in Scientific Documents
Whidby, Michael Alan
. - 2012
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13
Measuring Degrees of Semantic Opposition ...
Mohammad, Saif M.
;
Dorr, Bonnie J.
;
Hirst, Graeme
. - : National Research Council Canada, 2011
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14
Citation Handling for Improved Summarization of Scientific Documents
Whidby, Michael
;
Zajic, David
;
Dorr, Bonnie
. - 2011
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15
Interlingual annotation of parallel text corpora: a new framework for annotation and evaluation
Siddharthan, Advaith
;
Habash, Nizar
;
Passonneau, Rebecca J.
...
In:
Natural language engineering. - Cambridge : Cambridge University Press
16 (2010) 3, 197-243
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OLC Linguistik
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16
TER-Plus: paraphrase, semantic, and alignment enhancements to translation edit rate
Schwartz, Richard
;
Snover, Matthew G.
;
Dorr, Bonnie Jean
...
In:
Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media
23 (2010) 2-3, 117-127
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OLC Linguistik
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17
Symbolic-to-statistical hybridization: extending generation-heavy machine translation
Dorr, Bonnie Jean
;
Monz, Christof
;
Habash, Nizar
In:
Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media
23 (2010) 1, 23-63
BLLDB
OLC Linguistik
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18
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
Baker, Kathryn
;
Bloodgood, Michael
;
Callison-Burch, Chris
. - : Digital Repository at the University of Maryland, 2010
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19
The Circle of Meaning: From Translation to Paraphrasing and Back
Madnani, Nitin
. - 2010
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20
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
Baker, Kathryn
;
Piatko, Christine
;
Miller, Scott
. - 2010
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