Editing Manish Shrivastava

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

== 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.<ref>{{Cite web |title=Faculty profile |url=https://blogs.iiit.ac.in/author/prof-manish-shrivastava/}}</ref>

== 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.

# 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>
# 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 ==

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