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1
The hand’s self-reflection
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2
Pointer Disambiguation via Strict Inequalities
In: Proceedings of the 2017 International Symposium on Code Generation and Optimization ; Code Generation and Optimisation ; https://hal.archives-ouvertes.fr/hal-01387031 ; Code Generation and Optimisation , Feb 2017, Austin, United States. pp.134-147 (2017)
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3
Multinomial Loss on Held-out Data for the Sparse Non-negative Matrix Language Model ...
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4
Ficção e encenação : o desenho como narrativa visual
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5
Qualinet White Paper on Definitions of Quality of Experience
In: https://hal.archives-ouvertes.fr/hal-00977812 ; 2013 (2013)
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6
Large Scale Distributed Acoustic Modeling With Back-off N-grams ...
Abstract: The paper revives an older approach to acoustic modeling that borrows from n-gram language modeling in an attempt to scale up both the amount of training data and model size (as measured by the number of parameters in the model), to approximately 100 times larger than current sizes used in automatic speech recognition. In such a data-rich setting, we can expand the phonetic context significantly beyond triphones, as well as increase the number of Gaussian mixture components for the context-dependent states that allow it. We have experimented with contexts that span seven or more context-independent phones, and up to 620 mixture components per state. Dealing with unseen phonetic contexts is accomplished using the familiar back-off technique used in language modeling due to implementation simplicity. The back-off acoustic model is estimated, stored and served using MapReduce distributed computing infrastructure. Speech recognition experiments are carried out in an N-best list rescoring framework for Google ...
Keyword: 68T10; Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
URL: https://arxiv.org/abs/1302.1123
https://dx.doi.org/10.48550/arxiv.1302.1123
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7
Controlling Complexity in Part-of-Speech Induction
In: Departmental Papers (CIS) (2011)
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8
A theory of learning from different domains
In: Ben-David, Shai; Blitzer, John; Crammer, Koby; Kulesza, Alex; Pereira, Fernando; & Vaughan, Jennifer Wortman. (2010). A theory of learning from different domains. Machine Learning, 79(1), pp 151-175. doi:10.1007/s10994-009-5152-4. Retrieved from: http://www.escholarship.org/uc/item/2nv1j9sc (2010)
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9
Experiments in graph-based semi-supervised learning methods for class-instance acquisition
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 1473-1481
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10
Learning with Incidental Supervision
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11
Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis
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12
Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis ...
Lerman, Kevin; Gilder, Ari; Dredze, Mark. - : Columbia University, 2008
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13
Penn/Umass/CHOP Biocreative II systems
In: Andrew McCallum (2007)
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14
Online learning of approximate dependency parsing algorithms
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 11 (2006), 81-88
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15
Prolog and Natural Language Analysis
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16
Weighted finite-state transducers in speech recognition
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 16 (2002) 1, 69-88
OLC Linguistik
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17
Formal grammar and information theory : together again?
In: The legacy of Zellig Harris ; 2. Computability of language and computer applications. - Amsterdam [u.a.] : Benjamins (2002), 13-32
BLLDB
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18
The MPEG-4 Book
Pereira, Fernando; Ebrahimi, Touradj. - Upper Saddle River, NJ : Prentice Hall, 2002
MPI für Psycholinguistik
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19
Weighted Finite-State Transducers in Speech Recognition
In: Departmental Papers (CIS) (2001)
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20
Fragments : studies in ellipsis and gapping
Meyer-Viol, Wilfried (Mitarb.); Dalrymple, Mary (Mitarb.); Shieber, Stuart M. (Mitarb.). - New York, NY : Oxford Univ. Press, 1999
BLLDB
UB Frankfurt Linguistik
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