Shashank Srivastava

I am an Assistant Professor of Computer Science at UNC Chapel Hill, where I lead the Learning from Language Lab 

Email: ssrivastava@cs.unc.edu

I do research on Artificial Intelligence and Natural Language Processing, with special interests in grounding language in perception, neuro-symbolic methods, and interactive machine learning. Previously, I was at Microsoft Research in Redmond. Even earlier, I was a graduate student in the Machine Learning Department at Carnegie Mellon. My dissertation research with Tom Mitchell focused on teaching machines new tasks through natural language supervision, and led a new direction of training machine learning models from language-based supervision. I organized the first workshop on Learning by Instruction at NeurIPS 2018, and have been co-organizing the DaSH workshops on human-in-the-loop learning.

I am broadly interested in machine intelligence, language, 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 page . If you are an undergrad looking to do research with me, see this page

Publications:


RR Menon, S Srivastava

EMNLP 2024


K Zaman, L Chosen, S Srivastava

EMNLP 2024


AR Vijjini, RR Menon, S Srivastava, S Chaturvedi

Findings of EMNLP 2024



FM Fahid, J Rowe, Y Kim, S Srivastava, J Lester

AAAI 2024 


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 


M Byrd, S Srivastava

ACL 2022 


K Wei, S Ghosh, S Srivastava

Workshop on Narrative Understanding (WNU), 2022


S Ghosh, S Srivastava

Findings of EMNLP 2021


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

EMNLP 2021


A Jain, S Srivastava

EMNLP 2021


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

EMNLP 2021


S Ghosh, Z Qi, S Chaturvedi, S Srivastava

ACL 2021


S Saha, S Ghosh, S Srivastava, M Bansal

EMNLP 2020


       S Srivastava, A Polozov, N Jojic, C Meek

       ACL 2020


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

JAAMAS 2020


S Srivastava, I Labutov, T Mitchell

EMNLP 2019


S Srivastava

PhD Thesis, CMU 2018


       S Srivastava, N Jojic

       ACL 2018


S Srivastava, I Labutov, T Mitchell

ACL 2018


I Labutov, S Srivastava, T Mitchell

EMNLP 2018 (System Demos)

       Demo


S Chaturvedi, S Srivastava, D Roth

NAACL 2018 (short)


 S Srivastava, I Labutov, T Mitchell

NIPS Workshop on Learning from Limited Data 2017


 S Srivastava, I Labutov, T Mitchell

EMNLP 2017


 S Srivastava, A Azaria, T Mitchell

IJCAI 2017


 S Srivastava, S Chaturvedi, T Mitchell

AAAI 2016


S Chaturvedi, S Srivastava, H Daume, C Dyer

AAAI 2016


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

TAC 2016


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

TAC 2015


S Srivastava, E Hovy

ACL 2014


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

WSDM 2014


S Srivastava, D Hovy, E Hovy

EMNLP 2013 (short)


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

ACL 2013 (short)

(* equally contributing)


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

NAACL-HLT Meta4NLP Workshop 2013


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

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


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

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


S Srivastava

MTech Thesis, IIT Kanpur, Sep 2010