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Preference inference based on lexicographic and Pareto models
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| 2 |
Specification-Based Protocol Obfuscation
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In: DSN 2018 - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks ; https://hal.inria.fr/hal-01848573 ; DSN 2018 - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Jun 2018, Luxembourg City, Luxembourg. pp.1-12, ⟨10.1109/DSN.2018.00056⟩ (2018)
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Efficient Inference, Search and Evaluation for Latent Variable Models of Text with Applications to Information Retrieval and Machine Translation
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In: Doctoral Dissertations (2016)
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Abstract:
Latent variable models of text, such as topic models, have been explored in many areas of natural language processing, information retrieval and machine translation to aid tasks such as exploratory data analysis, automated topic clustering and finding similar documents in mono- and multilingual collections. Many additional applications of these models, however, could be enabled by more efficient techniques for processing large datasets. In this thesis, we introduce novel methods that offer efficient inference, search and evaluation for latent variable models of text. We present efficient, online inference for representing documents in several languages in a common topic space and fast approximations for finding near neighbors in the probability simplex representation of mono- and multilingual document collections. Empirical evaluations show that these methods are as accurate as —- and significantly faster than —- Gibbs sampling and brute-force all pairs search respectively. In addition, we present a new extrinsic evaluation metric that achieves very high correlation with common performance metrics while being more efficient to compute. We showcase the efficacy and efficiency of our new approaches on the problems of modeling and finding similar documents in a retrieval system for scientific papers, detecting document translation pairs, and extracting parallel sentences from large comparable corpora. This last task, in turn, allows us to efficiently train a translation model from comparable corpora that outperforms a model trained on parallel data. Lastly, we improve the latent variable model representation of large documents in mono- and multilingual collections by introducing online inference for topic models with hierarchical Dirichlet prior structure over textual regions such as document sections. Modeling variations across textual regions using online inference offers a more effective and efficient document representation, beyond a bag of words, which is usually a handicap for the performance of these models on large documents.
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Keyword:
Artificial Intelligence and Robotics; efficient evaluation; efficient inference; efficient search; information retrieval; latent variable models of text; machine translation; Numerical Analysis and Scientific Computing; online variational Bayes; Theory and Algorithms
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URL: https://scholarworks.umass.edu/dissertations_2/693
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1715&context=dissertations_2
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| 4 |
Learning to Understand Natural Language with Less Human Effort
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In: DTIC (2015)
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| 6 |
Rule base and inference system cooperative learning of mamdani fuzzy systems with multiobjective genetic algorithms
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| 8 |
Towards the Automatic Evolution of Reengineering Tools
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In: http://www4.ncsu.edu/~ktaneja/towards.pdf (2005)
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| 9 |
Towards the automatic evolution of reengineering tools
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In: http://www.rcost.unisannio.it/mdipenta/papers/csmr2005-gp.pdf (2005)
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| 10 |
Generating Definite Descriptions: Non incrementality, inference and data
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In: Speech production ; https://hal.inria.fr/inria-00099806 ; none. Speech production, Walter de Gruyter, Berlin, 34 p, 2003 (2003)
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| 11 |
Mathematical Foundations for Object Recognition and Image Analysis
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In: DTIC AND NTIS (2000)
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| 12 |
Grammar Inference and Statistical Machine Translation
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In: http://www.is.cs.cmu.edu/papers/speech/phd-thesis/thesis-yyw.ps.gz (1998)
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| 13 |
Inference and Estimation of a Long-Range Trigram Model
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In: DTIC AND NTIS (1994)
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| 14 |
Polymorphic Type Inference and Abstract Data Types
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In: DTIC AND NTIS (1992)
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| 15 |
The Inside/Outside Algorithm: Grammatical Inference Applied to Stochastic Context-Free Grammars
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In: DTIC AND NTIS (1988)
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| 16 |
Unified Theory of Inference for Text Understanding
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In: DTIC AND NTIS (1986)
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| 17 |
Inference of reversible languages
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In: http://phonology.cogsci.udel.edu/%7Eheinz/classes/2010/861/materials/angluin-reversible-languages.pdf (1982)
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| 19 |
Mechanical Theorem Proving and Artificial Intelligence Languages
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In: DTIC AND NTIS (1977)
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