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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
BASE
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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
BASE
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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
BASE
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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
;
Dorr, Bonnie J.
;
Filardo, Nathaniel W.
;
Levin, Lori
;
Miller, Scott
;
Piatko, Christine
. - : arXiv, 2014
Abstract:
We describe a unified and coherent syntactic framework for supporting a semantically-informed syntactic approach to statistical machine translation. Semantically enriched syntactic tags assigned to the target-language training texts improved translation quality. The resulting system significantly outperformed a linguistically naive baseline model (Hiero), and reached the highest scores yet reported on the NIST 2009 Urdu-English translation task. This finding supports the hypothesis (posed by many researchers in the MT community, e.g., in DARPA GALE) that both syntactic and semantic information are critical for improving translation quality---and further demonstrates that large gains can be achieved for low-resource languages with different word order than English. ... : 10 pages, 7 figures, 3 tables; appeared in Proceedings of the Ninth Conference of the Association for Machine Translation in the Americas (AMTA), October 2010 ...
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
URL:
https://arxiv.org/abs/1409.7085
https://dx.doi.org/10.48550/arxiv.1409.7085
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8
Computing Lexical Contrast ...
Mohammad, Saif M.
;
Dorr, Bonnie J.
;
Hirst, Graeme
. - : arXiv, 2013
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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
BASE
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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
BLLDB
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
BLLDB
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
BASE
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20
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
Baker, Kathryn
;
Piatko, Christine
;
Miller, Scott
. - 2010
BASE
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