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Hits 1 – 20 of 218
1
Universal Dependencies
Marie-Catherine de Marneffe
;
Christopher D. Manning
;
Joakim Nivre
...
In: Computational Linguistics, Vol 47, Iss 2, Pp 255-308 (2021) (2021)
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2
Grounded compositional semantics for finding and describing images with sentences. Transactions of the Association for Computational Linguistics
Richard Socher
;
Andrej Karpathy
;
Quoc V. Le
...
In: http://www.transacl.org/wp-content/uploads/2014/04/52.pdf (2014)
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3
An empirical comparison of features and tuning for phrasebased machine translation
Spence Green
;
Daniel Cer
;
Christopher D. Manning
In: http://www.aclweb.org/anthology/W/W14/W14-3360.pdf (2014)
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4
An empirical comparison of features and tuning for phrasebased machine translation
Spence Green
;
Daniel Cer
;
Christopher D. Manning
In: http://www.spencegreen.com/pubs/green+cer+manning.features.wmt14.pdf (2014)
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5
Phrasal: A toolkit for new directions in statistical machine translation
Spence Green
;
Daniel Cer
;
Christopher D. Manning
In: http://anthology.aclweb.org/W/W14/W14-3311.pdf (2014)
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6
Word segmentation of informal Arabic with domain adaptation
Will Monroe
;
Spence Green
;
Christopher D. Manning
In: http://aclweb.org/anthology/P/P14/P14-2034.pdf (2014)
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7
Parsing With Compositional Vector Grammars
Richard Socher
;
John Bauer
;
Christopher D. Manning
...
In: http://aclweb.org/anthology/P/P13/P13-1045.pdf (2013)
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8
Bilingual Word Embeddings for Phrase-Based Machine Translation
Will Y. Zou
;
Richard Socher
;
Daniel Cer
...
In: http://aclweb.org/anthology/D/D13/D13-1141.pdf (2013)
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9
Effective bilingual constraints for semisupervised learning of named entity recognizers
Mengqiu Wang
;
Wanxiang Che
;
Christopher D. Manning
In: http://www.cs.stanford.edu/people/mengqiu/publication/aaai13.pdf (2013)
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10
Bilingual Word Embeddings for Phrase-Based Machine Translation
Will Y. Zou
;
Richard Socher
;
Daniel Cer
...
In: http://nlp.stanford.edu/pubs/emnlp2013_ZouSocherCerManning.pdf (2013)
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11
Did it happen? The pragmatic complexity of veridicality assessment
Christopher D. Manning
;
Christopher Potts
In: http://aclweb.org/anthology-new/J/J12/J12-2003.pdf (2012)
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12
Did it happen? The pragmatic complexity of veridicality assessment
Christopher D. Manning
;
Christopher Potts
In: http://www-nlp.stanford.edu/pubs/coli_veridicality.pdf (2012)
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13
Parsing time: Learning to interpret time expressions
Gabor Angeli
;
Christopher D. Manning
;
Daniel Jurafsky
In: http://www.aclweb.org/anthology-new/N/N12/N12-1049.pdf (2012)
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14
SPEDE: Probabilistic edit distance metrics for . . .
Mengqiu Wang
;
Christopher D. Manning
In: http://www.aclweb.org/anthology/W/W12/W12-3107.pdf (2012)
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15
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
Richard Socher
;
Jeffrey Pennington
;
Eric H. Huang
...
In: http://aclweb.org/anthology-new/D/D11/D11-1014.pdf (2011)
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16
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
Richard Socher
;
Jeffrey Pennington
;
Eric H. Huang
...
In: http://nlp.stanford.edu/pubs/SocherPenningtonHuangNgManning_EMNLP2011.pdf (2011)
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17
Semi-supervised recursive autoencoders for predicting sentiment distributions
Richard Socher
;
Jeffrey Pennington
;
Eric H. Huang
...
In: http://aclweb.org/supplementals/D/D11/D11-1014.Attachment.pdf (2011)
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18
Analyzing the dynamics of research by extracting key aspects of scientific papers
Sonal Gupta
;
Christopher D. Manning
In: http://nlp.stanford.edu/pubs/gupta-manning-ijcnlp11.pdf (2011)
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19
The Best Lexical Metric for Phrase-Based Statistical MT System Optimization
Daniel Cer
;
Christopher D. Manning
;
Daniel Jurafsky
In: http://www.mt-archive.info/NAACL-HLT-2010-Cer-1.pdf (2010)
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20
Learning continuous phrase representations and syntactic parsing with recursive neural networks
Richard Socher
;
Christopher D. Manning
;
Andrew Y. Ng
In: http://www.socher.org/uploads/Main/2010SocherManningNg.pdf (2010)
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