Shashank Srivastava

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:
  • A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text
    S Srivastava, N Jojic
    ACL 2018

  • Zero-shot Learning of Classifiers from Natural Language Quantification
    S Srivastava, I Labutov, T Mitchell
    ACL 2018

  • LIA: A Natural Language Programmable Personal Assistant
    I Labutov, S Srivastava, T Mitchell
    EMNLP 2018 (System Demos)
    Media coverage

  • Where have I heard this story before? : Identifying Narrative Similarity in Movie Remakes'
    S Chaturvedi, Srivastava, D Roth
    NAACL 2018 (short)
  • Learning Classifiers from Declarative Language
    S Srivastava, I Labutov, T Mitchell
    NIPS Workshop on Learning from Limited Data 2017
  • Joint Concept Learning and Semantic Parsing from Natural Language Explanations
    S Srivastava, I Labutov, T Mitchell
    EMNLP 2017
  • Parsing Natural Language Conversations with Contextual Cues
    S Srivastava, A Azaria, T Mitchell
    IJCAI 2017
  • Inferring Interpersonal Relations in Narrative Summaries
    S Srivastava, S Chaturvedi, T Mitchell
    AAAI 2016
    Media coverage
  • Modeling Evolving Relationships Between Characters in Literary Novels
    S Chaturvedi, S Srivastava, T Mitchell
    AAAI 2016
  • CMU-ML System for KBP Cold Start Slot Filling
    B Kisiel, B McDowell, M Gardner, N Nakashole, E Platanios, A Saparov, S Srivastava, D Wijaya, T Mitchell
    TAC 2015

  • Vector-space semantics with frequency driven motifs
    S Srivastava, E Hovy
    ACL 2014
  • Spatial Compactness meets Topical Consistency: Jointly modeling link and content for community detection
    M Sachan, A Dubey, S Srivastava, EP Xing, E Hovy
    WSDM 2014
  • A Semantically Enriched Tree Kernel Over Distributed Word Representations
    S Srivastava, D Hovy, E Hovy
    EMNLP 2013 (short)
  • A Structured Distributional Semantic Model for Event Co-reference
    K Goyal*, S Jauhar*, H Li*, M Sachan*, S Srivastava*, E Hovy

    ACL 2013 (short)
    (* equally contributing)
  • Identifying Metaphorical Word Use with Tree Kernels
    D Hovy, S Srivastava, S Jauhar, M Sachan, K Goyal, H Li, E Hovy
    NAACL-HLT Meta4NLP Workshop 2013
  • A Structured Distributional Semantic Model for Event Co-reference
    K Goyal, S Jauhar, S Srivastava
    , M Sachan, H Li, E Hovy
    Workshop on Continuous Vector Space Models and their Compositionality, ACL 2013

  • A Structured Distributional Semantic Model for Event Co-reference
    S Chaturvedi, H Daume III, T Moon, S Srivastava

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

  • Evolution of Compositional Languages in Multiple Agent Social Communities
    S Srivastava

    MTech Thesis, IIT Kanpur, Sep 2010

  • A Reinforcement learning based Autoguider for Astrophotography
    S Srivastava, M Hirsch, J Peters, B Scholkopf

    Technical Report, MPI Tuebingen 2009


8005 Gates Hillman Complex
Carnegie Mellon University
Pittsburgh, PA