I am a graduate student at Carnegie Mellon University. 

I like statistical learning, language and AI. I also like Escher prints.

My doctoral advisor is Tom Mitchell, and my dissertation research focuses on helping machines learn from natural language interactions. I have previously worked on models of computational semantics with Ed Hovy and emergence of compositional language in artificial agents with Harish Karnick.

I graduated from Indian Institute of Technology, Kanpur. Once upon a time, I did bad things with other people's money at Tower Research Capital.

Click here for my resume.

Selected Publications:
  • S Srivastava, N Jojic. 'A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text'. ACL 2018
  • S Srivastava, I Labutov, T Mitchell. 'Zero-shot Learning of Classifiers from Natural Language Quantification'. ACL 2018
  • S Chaturvedi, S Srivastava, D Roth. 'Where have I heard this story before? : Identifying Narrative Similarity in Movie Remakes'. NAACL 2018.
  • S Srivastava, I Labutov, T Mitchell. 'Learning Classifiers from Declarative Language'. Learning from Limited Data Workshop, NIPS 2017.
  • S Srivastava, I Labutov, T Mitchell. 'Joint Concept Learning and Semantic Parsing from Natural Language Explanations'. EMNLP 2017.
  • S Srivastava, A Azaria, T Mitchell. 'Parsing Natural Language Conversations with Contextual Cues'. IJCAI 2017.
  • S Srivastava, S Chaturvedi, T Mitchell. 'Inferring Interpersonal Relations in Narrative Summaries'. AAAI 2016. Media coverage
  • S Chaturvedi, S Srivastava, H Daume III and C Dyer. 'Modeling Evolving Relationships Between Characters in Literary Novels'. AAAI 2016.
  • B Kisiel, B McDowell, M Gardner, N Nakashole, E Platanios, A Saparov, S Srivastava, D Wijaya, T Mitchell. 'CMU-ML System for KBP Cold Start Slot Filling'. TAC 2015.
  • S Srivastava and E Hovy. 'Vector-space semantics with frequency driven motifs'. ACL 2014.
  • M Sachan, A Dubey, S Srivastava, E P Xing and E Hovy. 'Spatial Compactness meets Topical Consistency: Jointly modeling link and content for community detection'. WSDM-2014.
  • S Srivastava, D Hovy, E Hovy. 'A Semantically Enriched Tree Kernel Over Distributed Word Representations' (short paper). EMNLP-2013.
  • K Goyal*, S Jauhar*, S Srivastava*, M Sachan*, H Li* and E Hovy.  'A Structured Distributional Semantic Model for Event Co-reference' (short paper).  ACL-2013.
  • D Hovy, S Srivastava, S Jauhar, M Sachan, K Goyal, H Li and E Hovy. 'Identifying Metaphorical Word Use with Tree Kernels'. NAACL-HLT Meta4NLP Workshop, 2013
  • K Goyal, S Jauhar, S Srivastava, M Sachan, H Li and E Hovy. 'A Structured Distributional Semantic Model: Integrating Structure with Semantics'. Workshop on Continuous Vector Space Models and their Compositionality, ACL-2013. 
  • S Chaturvedi, H Daume III, T Moon, S Srivastava, 'A Topical Graph Kernel for Link Prediction in Labeled Graphs', ICML workshop on Mining and Learning with Graphs (MLG), 2012
  • S Srivastava, 'Evolution of Compositional Languages in Multiple Agent Social Communities', MTech Thesis, IIT Kanpur, Sep 2010.
  • S Srivastava, M Hirsch, J Peters, B Scholkopf, 'A Reinforcement learning based Autoguider for Astrophotography', Technical Report, MPI Tuebingen 2009.