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Hits 1 – 20 of 79
1
Parallel processing in speech perception with local and global representations of linguistic context
Brodbeck, Christian
;
Bhattasali, Shohini
;
Cruz Heredia, Aura AL
...
In: eLife (2022)
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2
Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Bhattasali, Shohini
;
Resnik, Philip
. - : Underline Science Inc., 2021
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3
Community-level Research on Suicidality Prediction in a Secure Environment: Overview of the CLPsych 2021 Shared Task
MacAvaney, Sean
;
Mittu, Anjali
;
Coppersmith, Glen
. - 2021
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4
Connecting Documents, Words, and Languages Using Topic Models
Yang, Weiwei
. - 2019
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5
Assessing Composition in Sentence Vector Representations ...
Ettinger, Allyson
;
Elgohary, Ahmed
;
Phillips, Colin
. - : arXiv, 2018
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6
Relating lexical and syntactic processes in language: Bridging research in humans and machines
Ettinger, Allyson
. - 2018
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7
Guided Probabilistic Topic Models for Agenda-setting and Framing
Nguyen, Viet An
. - 2015
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8
Soft syntactic constraints for Arabic-English hierarchical phrase-based translation
Resnik, Philip
;
Chiang, David
;
Marton, Yuval
In:
Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media
26 (2012) 1-2, 137-157
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OLC Linguistik
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9
Crowdsourced Monolingual Translation
Hu, Chang
. - 2012
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10
Decision Tree-based Syntactic Language Modeling
Filimonov, Denis
. - 2011
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11
Modeling Dependencies in Natural Languages with Latent Variables
Huang, Zhongqiang
. - 2011
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12
Exploiting syntactic relationships in a phrase-based decoder: an exploration
Hunter, Tim
;
Resnik, Philip
In:
Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media
24 (2010) 2, 123-140
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OLC Linguistik
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13
Gibbs Sampling for the Uninitiated
Resnik, Philip
;
Hardisty, Eric
In: DTIC (2010)
Abstract:
This document is intended for computer scientists who would like to try out a Markov Chain Monte Carlo (MCMC) technique, particularly to do inference with Bayesian models on problems related to text processing. We try to keep theory to the absolute minimum needed, though we work through the details much more explicitly than you usually see even in "introductory" explanations. That means we've attempted to be ridiculously explicit in our exposition and notation. After providing the reasons and reasoning behind Gibbs sampling (and at least nodding our heads in the direction of theory), we work through an example application in detail -- the derivation of a Gibbs sampler for a Naive Bayes model. Along with the example, we discuss some practical implementation issues, including the integrating out of continuous parameters when possible. We conclude with some pointers to literature that we've found to be somewhat more friendly to uninitiated readers. ; Sponsored in part by the GALE program of the Defense Advanced Research Projects Agency (DARPA), the National Science Foundation (NSF), and the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), through the Army Research Laboratory. LAMP-TR-153.
Keyword:
*BAYES THEOREM
;
*GIBBS SAMPLING
;
*MARKOV CHAIN MONTE CARLO
;
*MARKOV PROCESSES
;
*MONTE CARLO METHOD
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*NAIVE BAYES MODEL
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*NATURAL LANGUAGE
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*SAMPLING
;
*STATISTICAL INFERENCE
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*TEXT PROCESSING
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ALGORITHMS
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AUTOCORRELATION
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BETA DISTRIBUTION
;
COMPUTATIONAL LINGUISTICS
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CONVERGENCE
;
DIRICHLET DISTRIBUTION
;
DISTRIBUTION
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DOCUMENT LABELS
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DOCUMENTS
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EXPECTED VALUES
;
INITIALIZATION
;
INTEGRALS
;
JOINT DISTRIBUTION
;
LABELS
;
Linguistics
;
MAP(MAXIMUM A POSTERIORI ESTIMATION)
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MAXIMUM LIKELIHOOD ESTIMATION
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MCMC(MARKOV CHAIN MONTE CARLO)
;
Numerical Mathematics
;
PARAMETER ESTIMATION
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PARAMETERS
;
POSTERIOR PROBABILITIES
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PROBABILITY ESTIMATION
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STATE SPACE
;
Statistics and Probability
;
VALUE
URL:
http://www.dtic.mil/docs/citations/ADA523027
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA523027
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14
Structured local exponential models for machine translation
Subotin, Michael
. - 2010
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15
A Formal Model of Ambiguity and its Applications in Machine Translation
Dyer, Christopher
. - 2010
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16
Extending Phrase-Based Decoding with a Dependency-Based Reordering Model
Hunter, Tim
;
Resnik, Philip
In: DTIC (2009)
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17
Extending Phrase-Based Decoding with a Dependency-Based Reordering Model
Resnik, Philip
;
Hunter, Tim
. - 2009
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18
COMPUTATIONAL ANALYSIS OF THE CONVERSATIONAL DYNAMICS OF THE UNITED STATES SUPREME COURT
Hawes, Timothy
. - 2009
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19
Fine-Grained Linguistic Soft Constraints on Statistical Natural Language Processing Models
Marton, Yuval Yehezkel
. - 2009
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20
Generalizing Word Lattice Translation
Dyer, Christopher
;
Muresan, Smaranda
;
Resnik, Philip
In: DTIC (2008)
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