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{{Infobox academic
| name = Manish Shrivastava
| occupation = Professor
| education = Ph.D
| workplaces = IIIT-H
}}


== Manish Shrivastava ==
{{ Infobox Professor
'''Dr. Manish Shrivastava''' has joined as an [[Assistant professor]] at the Language Technologies Research Centre (LTRC) [[IIIT-H]], 2014. He is also the [[co-founder]] of Subtl.ai, a document retrieval platform that leverages GenAI to optimize information discovery on the internet.<ref>{{Cite web |title=Faculty profile |url=https://blogs.iiit.ac.in/author/prof-manish-shrivastava/}}</ref>
 
       
            | name = Manish Shrivastava
       
            | occupation = Professor
            | nationality  = Indian
       
            | education = Ph.D
 
}}


Manish Shrivastava has joined as an Assistant Professor at IIIT-H.
== Education ==
Prof Shrivastava completed his Higher Secondary Certificate (HSC) at Christ Church Boys' Senior Secondary School, in 1999, having studied there since 1988. he earned a [[Bachelor of Engineering]] (BE) in Computer Science from Rajiv Gandhi Prodyogiki Vishwavidyalaya, graduating in 2003.He completed his [[Doctor of Philosophy]] (PhD) in [[Computer Science]] from the [[Indian Institute of Technology, Bombay]], between 2003 and 2009.


==Education==
==Research & Publications ==
Manish Shrivastava recieved Ph.D degree from University of Hyderabad in 2009.


His research interests include [[machine translation]] and [[natural language processing]] for Indian languages.


==Research==
# SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages in 2024.<ref>{{Cite web |title=SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&cstart=20&pagesize=80&citation_for_view=sIvMnGQAAAAJ:cWzG1nlazyYC}}</ref>
His research area of interests are NLP.
# Multifacet: A multi-tasking framework for speech-to-sign language generation in 2023.<ref>{{Cite web |title=Multifacet: A multi-tasking framework for speech-to-sign language generation |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&cstart=20&pagesize=80&citation_for_view=sIvMnGQAAAAJ:XvxMoLDsR5gC}}</ref>
# X-RiSAWOZ: High-quality end-to-end multilingual dialogue datasets and few-shot agents in 2023.<ref>{{Cite web |title=X-RiSAWOZ: High-quality end-to-end multilingual dialogue datasets and few-shot agents |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&cstart=20&pagesize=80&citation_for_view=sIvMnGQAAAAJ:HtEfBTGE9r8C}}</ref>
# SyMCoM-syntactic measure of code mixing a study of english-hindi code-mixing in 2022.<ref>{{Cite web |title=SyMCoM-syntactic measure of code mixing a study of english-hindi code-mixing |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&cstart=20&pagesize=80&citation_for_view=sIvMnGQAAAAJ:i2xiXl-TujoC}}</ref>
# MARCUS: An Event-Centric NLP Pipeline that generates Character Arcs from Narratives in 2022.<ref>{{Cite web |title=MARCUS: An Event-Centric NLP Pipeline that generates Character Arcs from Narratives |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&cstart=20&pagesize=80&citation_for_view=sIvMnGQAAAAJ:-FonjvnnhkoC}}</ref>
# Enhancing aspect extraction for hindi in 2021.<ref>{{Cite web |title=Enhancing aspect extraction for hindi |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&cstart=20&pagesize=80&citation_for_view=sIvMnGQAAAAJ:kuK5TVdYjLIC}}</ref>
# Volta at semeval-2021 task 9: Statement verification and evidence finding with tables using tapas and transfer learning in 2021.<ref>{{Cite web |title=Volta at semeval-2021 task 9: Statement verification and evidence finding with tables using tapas and transfer learning |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&cstart=20&pagesize=80&citation_for_view=sIvMnGQAAAAJ:g3aElNc5_aQC}}</ref>
# Semantic textual similarity of sentences with emojis in 2020.<ref>{{Cite web |title=Semantic textual similarity of sentences with emojis |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&cstart=20&pagesize=80&citation_for_view=sIvMnGQAAAAJ:PR6Y55bgFSsC}}</ref>
# A dataset of Hindi-English code-mixed social media text for hate speech detection in 2018.<ref>{{Cite web |title=A dataset of Hindi-English code-mixed social media text for hate speech detection |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&citation_for_view=sIvMnGQAAAAJ:xtRiw3GOFMkC}}</ref>
# Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text in 2016.<ref>{{Cite web |title=Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text |url=https://scholar.google.co.in/citations?view_op=view_citation&hl=en&user=sIvMnGQAAAAJ&citation_for_view=sIvMnGQAAAAJ:NJ774b8OgUMC}}</ref><br />
== References ==


{{refList}}

Revision as of 11:52, 11 December 2024

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Manish Shrivastava

Dr. Manish Shrivastava has joined as an Assistant professor at the Language Technologies Research Centre (LTRC) IIIT-H, 2014. He is also the co-founder of Subtl.ai, a document retrieval platform that leverages GenAI to optimize information discovery on the internet.[1]

Education

Prof Shrivastava completed his Higher Secondary Certificate (HSC) at Christ Church Boys' Senior Secondary School, in 1999, having studied there since 1988. he earned a Bachelor of Engineering (BE) in Computer Science from Rajiv Gandhi Prodyogiki Vishwavidyalaya, graduating in 2003.He completed his Doctor of Philosophy (PhD) in Computer Science from the Indian Institute of Technology, Bombay, between 2003 and 2009.

Research & Publications

His research interests include machine translation and natural language processing for Indian languages.

  1. SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages in 2024.[2]
  2. Multifacet: A multi-tasking framework for speech-to-sign language generation in 2023.[3]
  3. X-RiSAWOZ: High-quality end-to-end multilingual dialogue datasets and few-shot agents in 2023.[4]
  4. SyMCoM-syntactic measure of code mixing a study of english-hindi code-mixing in 2022.[5]
  5. MARCUS: An Event-Centric NLP Pipeline that generates Character Arcs from Narratives in 2022.[6]
  6. Enhancing aspect extraction for hindi in 2021.[7]
  7. Volta at semeval-2021 task 9: Statement verification and evidence finding with tables using tapas and transfer learning in 2021.[8]
  8. Semantic textual similarity of sentences with emojis in 2020.[9]
  9. A dataset of Hindi-English code-mixed social media text for hate speech detection in 2018.[10]
  10. Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text in 2016.[11]

References

Template:RefList

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  6. ↑ Lua error in Module:Citation/CS1/Configuration at line 2123: attempt to index field '?' (a nil value).
  7. ↑ Lua error in Module:Citation/CS1/Configuration at line 2123: attempt to index field '?' (a nil value).
  8. ↑ Lua error in Module:Citation/CS1/Configuration at line 2123: attempt to index field '?' (a nil value).
  9. ↑ Lua error in Module:Citation/CS1/Configuration at line 2123: attempt to index field '?' (a nil value).
  10. ↑ Lua error in Module:Citation/CS1/Configuration at line 2123: attempt to index field '?' (a nil value).
  11. ↑ Lua error in Module:Citation/CS1/Configuration at line 2123: attempt to index field '?' (a nil value).
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