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Hits 41 – 60 of 93

41
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks ...
Li, Jiwei; Ritter, Alan; Jurafsky, Dan. - : arXiv, 2015
BASE
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42
When Are Tree Structures Necessary for Deep Learning of Representations? ...
BASE
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43
Speech and language processing
Martin, James H.; Jurafsky, Dan. - 2. ed., Pearson new international ed. - Harlow : Pearson Education, 2014
IDS Mannheim
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44
Narrative framing of consumer sentiment in online restaurant reviews ...
Jurafsky, Dan; Chahuneau, Victor; Routledge, Bryan R. - : Carnegie Mellon University, 2014
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45
Narrative framing of consumer sentiment in online restaurant reviews ...
Jurafsky, Dan; Chahuneau, Victor; Routledge, Bryan R. - : Carnegie Mellon University, 2014
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46
How to Ask for a Favor: A Case Study on the Success of Altruistic Requests
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 8 No. 1 (2014): Eighth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2014)
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47
Narrative framing of consumer sentiment in online restaurant reviews
In: First Monday; Volume 19, Number 4 - 7 April 2014 ; 1396-0466 (2014)
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48
Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 89-115
OLC Linguistik
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49
A Computational Approach to Politeness with Application to Social Factors ...
BASE
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50
The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue [<Journal>]
Calhoun, Sasha [Verfasser]; Carletta, Jean [Verfasser]; Brenier, Jason M. [Verfasser].
DNB Subject Category Language
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51
Measuring machine translation quality as semantic equivalence: a metric based on entailment features
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 23 (2010) 2-3, 181-193
BLLDB
OLC Linguistik
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52
Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
In: Speech communication. - Amsterdam [u.a.] : Elsevier 52 (2010) 3, 181-200
BLLDB
OLC Linguistik
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53
The NXT-format Switchboard Corpus: a rich resource for investigating the syntax, semantics, pragmatics and prosody of dialogue
In: Language resources and evaluation. - Dordrecht [u.a.] : Springer 44 (2010) 4, 387-419
BLLDB
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54
Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00608401 ; Speech Communication, Elsevier : North-Holland, 2010, 52 (3), pp.181. &#x27E8;10.1016/j.specom.2009.10.001&#x27E9; (2010)
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55
Improving the use of pseudo-words for evaluating selectional preferences
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 445-453
BLLDB
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56
Profiting from mark-up: hyper-text annotations for guided parsing
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 1278-1287
BLLDB
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57
Learning fo follow navigational directions
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 806-814
BLLDB
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58
Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition
Martin, James H.; Jurafsky, Dan. - 2. ed. [Nachdr.]. - Upper Saddle River, NJ : Prentice Hall, 2009
IDS Mannheim
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59
Predictability effects on durations of content and function words in conversational English
In: Journal of memory and language. - Amsterdam [u.a.] : Elsevier 60 (2009) 1, 92-111
BLLDB
OLC Linguistik
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60
Predictability effects on durations of content and function words in conversational English
In: Journal of memory and language. - Amsterdam [u.a.] : Elsevier 60 (2009) 1, 92-111
OLC Linguistik
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