Shashank Srivastava

I am an Assistant Professor of Computer Science at UNC Chapel Hill 

Email: ssrivastava@cs.unc.edu

I do research on natural language processing, with special interests in grounding language in perception, neuro-symbolic methods, and interactive machine learning. 

In 2018-19, I was at Microsoft Research in Redmond. Till 2018, I was a graduate student in the Machine Learning Department at CMU. My dissertation research with Tom Mitchell focused on teaching machines new tasks through natural language supervision; and is a thrust towards a new direction of training machine learning models from language-based interactions. I co-organized the first workshop on Learning by Instruction at NeurIPS 2018.

Previously, I worked on models of computational semantics with Ed Hovy and emergence of compositional language in artificial agents with Harish Karnick

I am broadly interested in machine intelligence, language, AI and story-telling. 

Once upon a time, I used to do bad things with other people's money at Tower Research Capital.

If you are a prospective graduate student, see this. If you are an undergrad looking to do research with me, see this. 

CV                    Research Statement               Group Members

Publications:


RR Menon, K Zaman, S Srivastava. 

EMNLP 2023


Y Li, RR Menon, S Ghosh, S Srivastava

EMNLP 2023


 G Caron, S Srivastava

Findings of EMNLP 2023


K Wei, S Ghosh, RR Menon, S Srivastava

Findings of EMNLP 2023


B Yao, I Jindal, L Popa, Y Katsis, S Ghosh, L He, Y Lu, S Srivastava, Y Li, J Hendler, D Wang

Findings of EMNLP 2023


S Ghosh,  RR Menon, S Srivastava

Findings of ACL 2023


A Srivastava and others

TMLR 2023


A Madasu, S Srivastava

Findings of EMNLP 2022


RR Menon, S Ghosh, S Srivastava

ACL 2022


S Ghosh, S Srivastava

ACL 2022 

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M Byrd, S Srivastava

ACL 2022 

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K Wei, S Ghosh, S Srivastava

Workshop on Narrative Understanding (WNU), 2022

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S Ghosh, S Srivastava

Findings of EMNLP 2021

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S Chowdhury, S Ghosh, Y Li, J Oliva, S Srivastava , S Chaturvedi

EMNLP 2021

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A Jain, S Srivastava

EMNLP 2021

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D Tam, RR Menon, M Bansal, S Srivastava, C Raffel

EMNLP 2021

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S Ghosh, Z Qi, S Chaturvedi, S Srivastava

ACL 2021

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S Saha, S Ghosh, S Srivastava, M Bansal

EMNLP 2020

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       S Srivastava, A Polozov, N Jojic, C Meek

       ACL 2020

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A Azaria, S Srivastava, J Krishnamurthy, I Labutov, T Mitchell

JAAMAS 2020


S Srivastava, I Labutov, T Mitchell

EMNLP 2019

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S Srivastava

PhD Thesis, CMU 2018

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       S Srivastava, N Jojic

       ACL 2018

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S Srivastava, I Labutov, T Mitchell

ACL 2018

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I Labutov, S Srivastava, T Mitchell

EMNLP 2018 (System Demos)

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S Chaturvedi, S Srivastava, D Roth

NAACL 2018 (short)

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 S Srivastava, I Labutov, T Mitchell

NIPS Workshop on Learning from Limited Data 2017

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 S Srivastava, I Labutov, T Mitchell

EMNLP 2017

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 S Srivastava, A Azaria, T Mitchell

IJCAI 2017

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 S Srivastava, S Chaturvedi, T Mitchell

AAAI 2016

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S Chaturvedi, S Srivastava, H Daume, C Dyer

AAAI 2016

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B Yang, N Nakashole, B Kisiel,  E Platanios, A Saparov, S Srivastava, D Wijaya, T Mitchell

TAC 2016

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B Kisiel, B McDowell, M Gardner, N Nakashole, E Platanios, A Saparov, S Srivastava, D Wijaya, T Mitchell

TAC 2015

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S Srivastava, E Hovy

ACL 2014

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M Sachan, A Dubey, S Srivastava, EP Xing, E Hovy

WSDM 2014

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S Srivastava, D Hovy, E Hovy

EMNLP 2013 (short)

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K Goyal*, S Jauhar*, H Li*, M Sachan*, S Srivastava*, E Hovy

ACL 2013 (short)

(* equally contributing)

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D Hovy, S Srivastava, S Jauhar, M Sachan, K Goyal, H Li, E Hovy

NAACL-HLT Meta4NLP Workshop 2013

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K Goyal*, S Jauhar*,  H Li*, M Sachan*, S Srivastava*, E Hovy

Workshop on Continuous Vector Space Models and their Compositionality, ACL 2013

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S Chaturvedi, H Daume III, T Moon, S Srivastava

ICML Workshop on Mining and Learning with Graphs (MLG) 2012

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S Srivastava

MTech Thesis, IIT Kanpur, Sep 2010

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