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Mithun Balakrishna
Observed names:
Balakrishna Mithun,
Balakrishna, Mithun,
M. Balakrishna
Institution:
Lymba (United States)
Observed institutions:
The University of Texas at Dallas,
Lymba (United States)
OpenAlex ID:
A5072308764
Automatic Extraction of Actionable Knowledge
2016
·
Marta Tatu
, Mithun Balakrishna
, et al.
·
IEEE International Conference on Semantic Computing (ICSC)
·
16
Semi-Automatic Domain Ontology Creation from Text Resources
2010
·
Mithun Balakrishna
, Dan Moldovan
, et al.
·
Language Resources and Evaluation Conference (LREC)
·
15
PDF
Automatic Ontology Creation from Text for National Intelligence Priorities Framework (NIPF).
2008
·
Mithun Balakrishna
, Munirathnam Srikanth
·
11
K-Extractor: Automatic Knowledge Extraction for Hybrid Question Answering
2016
·
Mithun Balakrishna
, Steven Werner
, et al.
·
IEEE International Conference on Semantic Computing (ICSC)
·
8
Knowledge Extraction for Literature Review
2016
·
Tatiana Erekhinskaya
, Mithun Balakrishna
, et al.
·
ACM/IEEE Joint Conference on Digital Libraries
·
7
A Semantic Question Answering Framework for Large Data Sets
2016
·
Marta Tatu
, Mithun Balakrishna
, et al.
·
RonPub -- Research Online Publishing (RonPub UG)
·
6
Automatic Creation and Tuning of Context Free Grammars for Interactive Voice Response Systems
2006
·
M. Balakrishna
, D. Moldovan
, et al.
·
International Conference on Natural Language Processing and Knowledge Engineering (NLPKE)
·
6
Ten ways of leveraging ontologies for natural language processing and its enterprise applications
2020
·
Tatiana Erekhinskaya
, Dmitriy Strebkov
, et al.
·
International Workshop on Semantic Big Data (SBD)
·
5
Semantic question answering on big data
2016
·
Marta Tatu
, Steven Werner
, et al.
·
International Workshop on Semantic Big Data (SBD)
·
4
PDF
N-Best List Reranking using Higher Level Phonetic, Lexical, Syntactic and Semantic Knowledge Sources
2006
·
M. Balakrishna
, D. Moldovan
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
3
CMS Sematrix: A Tool to Aid the Development of Clinical Quality Measures (CQMs)
2019
·
Schwemmer, Michael A.
, Chen, Po-Hsu
, et al.
·
arXiv (Cornell University)
·
2
PDF
Ten Ways of Leveraging Ontologies for Rapid Natural Language Processing Customization for Multiple Use Cases in Disjoint Domains
2020
·
Tatiana Erekhinskaya
, Marta Tatu
, et al.
·
RonPub -- Research Online Publishing (RonPub UG)
·
1
Personalized Medical Reading Recommendation: Deep Semantic Approach
2016
·
Tatiana Erekhinskaya
, Mithun Balakrishna
, et al.
·
Lecture notes in computer science
·
1
Exploiting high-level knowledge resources for speech recognition with applications to interactive voice response systems
2007
·
Dan Moldovan
, Mithun Balakrishna
·
1
Automatic generation of statistical language models for interactive voice response applications
2006
·
Mithun Balakrishna
, Cyril Cerovic
, et al.
·
Interspeech (USB)
·
1
K抽出器:ハイブリッド質問応答のための自動知識抽出【Powered by NICT】
2016
·
Balakrishna Mithun
, Werner Steven
, et al.
·
IEEE Conference Proceedings
Exploiting High-Level Knowledge Resources for SpeechRecognition
2009
·
Mithun Balakrishna
·
VDM Verlag Dr. Müller eBooks
Minimal training based semantic categorization in a voice activated question answering (VAQA) system
2008
·
Mithun Balakrishna
, Marta Tatu
, et al.
·
Interspeech (USB)
Efficient Grammar Generation and Tuning for Interactive Voice Response Applications
2006
·
E.K. Cave
, M. Balakrishna
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
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Works count:
22
Citation count:
87
H-index:
6
I10-index:
3
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