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1
Sensitivity as a Complexity Measure for Sequence Classification Tasks
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 891-908 (2021) (2021)
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2
The role of verb semantics in Hungarian verb-object order
In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 54–68 ; 2473-8689 (2021)
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3
Obituary
In: http://www.aclweb.org/anthology/J/J14/J14-3009.pdf (2014)
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4
Learning to reason pragmatically with cognitive limitations
In: https://mindmodeling.org/cogsci2014/papers/527/paper527.pdf (2014)
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5
Learning to reason pragmatically with cognitive limitations
In: http://langcog.stanford.edu/papers/VEFJP-underreview.pdf (2014)
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6
Linguistic models for analyzing and detecting biased language
In: http://www.mpi-sws.org/~cristian/Biased_language_files/neutrality.pdf (2013)
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7
Linguistic models for analyzing and detecting biased language
In: http://aclweb.org/anthology/P/P13/P13-1162.pdf (2013)
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8
No country for old members: User lifecycle and linguistic change in online communities
In: http://cs.stanford.edu/people/jure/pubs/language-www13.pdf (2013)
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9
No country for old members: User lifecycle and linguistic change in online communities
In: http://infolab.stanford.edu/~west1/pubs/DNM-West-Jurafsky-Leskovec-Potts_WWW-13.pdf (2013)
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10
No country for old members: User lifecycle and linguistic change in online communities
In: http://www2013.org/proceedings/p307.pdf (2013)
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11
No country for old members: User lifecycle and linguistic change in online communities
In: http://www.mpi-sws.org/~cristian/Linguistic_change_files/linguistic_change_lifecycle.pdf (2013)
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12
Learning Attitudes and Attributes from Multi-Aspect Reviews
In: http://nlp.stanford.edu/pubs/icdm2012.pdf (2012)
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13
He said, she said: Gender in the ACL anthology
In: http://www.aclweb.org/anthology/W/W12/W12-3204.pdf (2012)
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14
Learning to follow navigational directions
In: http://aclweb.org/anthology-new/P/P10/P10-1083.pdf (2010)
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15
Robust machine translation evaluation with entailment features
In: http://www.mt-archive.info/ACL-2009-Pado.pdf (2009)
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16
Disambiguating ”DE” for Chinese-English machine translation
In: http://www.mt-archive.info/WMT-2009-Chang.pdf (2009)
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17
Disambiguating ”DE” for Chinese-English machine translation
In: http://www.statmt.org/wmt09/pdf/WMT-0936.pdf (2009)
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18
Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
In: http://homepages.inf.ed.ac.uk/sgwater/papers/specom-erranal.pdf (2009)
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19
Robust Machine Translation Evaluation with Entailment Features
In: http://aclweb.org/anthology-new/P/P09/P09-1034.pdf (2009)
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20
Robust Machine Translation Evaluation with Entailment Features
In: http://www.nlpado.de/~sebastian/pub/papers/acl09_pado.pdf (2009)
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