Anoop Deoras - Concepedia

Concepedia

Author

Anoop Deoras

Microsoft (United States)ORCID

Also Known As

Anoop Deoras, Deoras, Anoop

54

Publications

1.9K

Citations

14

H-Index

49

Concepts

All Affiliations

Microsoft (United States)Johns Hopkins University Brno University of Technology Microsoft Research (United Kingdom)

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About

Anoop Deoras is an author at Microsoft (United States) specializing in engineering, natural language processing, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	16	1.8K
2	Language Studies	13	14	1.8K
3	Computer Science	11	12	1.5K
4	Data Science	8	8	1.1K
5	Health Sciences	1	1	10

Anoop Deoras

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17

Publications

1.9K

Citations

14

H-Index

	Year	Citations
Strategies for training large scale neural network language models Tomáš Mikolov, Anoop Deoras, Daniel Povey, EngineeringMachine LearningNeural NetworkComputational ComplexityMultilingual Pretraining	2011	512
Application of Deep Belief Networks for Natural Language Understanding Ruhi Sarikaya, Geoffrey E. Hinton, Anoop Deoras IEEE/ACM Transactions on Audio Speech and Language Processing Convolutional Neural NetworkEngineeringMachine LearningDeep Belief NetworksAutoencoders	2014	454
Empirical evaluation and combination of advanced language modeling techniques Tomáš Mikolov, Anoop Deoras, Stefan Kombrink, EngineeringMachine LearningCache ModelSpoken Language ProcessingMultilingual Pretraining	2011	285
RNNLM - Recurrent Neural Network Language Modeling Toolkit Tomáš Mikolov, Stefan Kombrink, Anoop Deoras, IEEE Automatic Speech Recognition and Understanding Workshop Natural Language ProcessingSequence ModellingEngineeringMachine LearningCorpus Linguistics	2011	262
Deep belief network based semantic taggers for spoken language understanding Anoop Deoras, Ruhi Sarikaya Structured PredictionEngineeringMachine LearningPart-of-speech TaggingDeep Belief Networks	2013	64
Variational approximation of long-span language models for lvcsr Anoop Deoras, Tomáš Mikolov, Stefan Kombrink, EngineeringMachine LearningSpoken Language ProcessingLarge Language ModelCorpus Linguistics	2011	51
Semantic parsing using word confusion networks with conditional random fields Gökhan Tür, Anoop Deoras, Dilek Hakkani‐Tür Syntactic ParsingSemantic Role LabelingEngineeringMachine LearningSpoken Language Processing	2013	50
A Fast Re-scoring Strategy to Capture Long-Distance Dependencies Anoop Deoras, Tomáš Mikolov, Kenneth Church	2011	32
Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model Anoop Deoras, Tomáš Mikolov, Stefan Kombrink, Speech Communication Natural Language ProcessingSyntaxEngineeringLanguage AdaptationComplex Dependencies	2012	28
Detecting out-of-domain utterances addressed to a virtual personal assistant Gökhan Tür, Anoop Deoras, Dilek Hakkani‐Tür Unseen QueriesEngineeringSpoken Dialog SystemLanguage ProcessingText Mining	2014	28

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