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1
Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences
In: DTIC (2015)
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2
A Fast Variational Approach for Learning Markov Random Field Language Models
In: DTIC (2015)
Abstract: Language modelling is a fundamental building block of natural language processing. However in practice the size of the vocabulary limits the distributions applicable for this task: specifically one has to either resort to local optimization methods, such as those used in neural language models, or work with heavily constrained distributions. In this work, we take a step towards overcoming these difficulties. We present a method for global-likelihood optimization of a Markov random field language model exploiting long-range contexts in time independent of the corpus size. We take a variational approach to optimizing the likelihood and exploit underlying symmetries to greatly simplify learning. We demonstrate the efficiency of this method both for language modelling and for part-of-speech tagging. ; Published in the Proceedings of the 32nd International Conference on Machine Learning, held in Lille, France, 2015. Published in JMLR: W&CP, v37. Sponsored in part by DARPA.
Keyword: *COMPUTATIONAL LINGUISTICS; *LEARNING MACHINES; CONTEXTUAL LANGUAGE MODELS; Cybernetics; EFFICIENCY; INFORMATION PROCESSING; Linguistics; MARKOV PROCESSES; MARKOV RANDOM FIELD LANGUAGE MODELS; MAXIMUM LIKELIHOOD ESTIMATION; NATURAL LANGUAGE; NEURAL LANGUAGE MODELS; NEURAL NETS; NONLINEAR SYSTEMS; OPTIMIZATION; PART-OF-SPEECH TAGGING; PATTERN RECOGNITION; SEMANTICS; STATISTICAL INFERENCE; Statistics and Probability; STOCHASTIC PROCESSES; TARGET CLASSIFICATION; VECTOR ANALYSIS; VOCABULARY
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA621682
http://www.dtic.mil/docs/citations/ADA621682
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3
The SRI NIST 2010 Speaker Recognition Evaluation System (PREPRINT)
In: DTIC (2011)
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4
Multi-INT and Information Operations Simulation and Training Technologies (MIISTT)
In: DTIC (2010)
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5
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
In: DTIC (2006)
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6
Toward Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings
In: DTIC (2005)
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7
Optimal Mixture Models in IR
In: DTIC AND NTIS (2005)
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8
HowtogetaChineseName(Entity): Segmentation and Combination Issues
In: DTIC (2003)
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9
Multi-modal Speech Recognition Workshop 2002
In: DTIC (2002)
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10
TREC-9 Cross-Lingual Retrieval at BBN
In: DTIC (2000)
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11
A Robust Loose Coupling for Speech Recognition and Natural Understanding.
In: DTIC AND NTIS (1995)
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12
Robust Continuous Speech Recognition.
In: DTIC AND NTIS (1994)
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13
High-Performance Speech Recognition Using Consistency Modeling.
In: DTIC AND NTIS (1994)
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14
BBN's PLUM Probabilistic Language Understanding System
In: DTIC (1993)
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15
Integration of Speech and Natural Language
In: DTIC AND NTIS (1988)
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