Shashi NarayanResearch Associate
Informatics Forum 338
School of Informatics
The University of Edinburgh
10 Crichton Street
Edinburgh EH8 9AB, UK
Phone: +44 (0)131 650 4418
My research focuses on natural language understanding and generation. I aim to develop general frameworks for generation from underlying meaning representations or for text rewriting such as summarization, text simplification, question answering and paraphrase generation. The aim is to develop a general framework that is not specific to an application and which incorporates task-specific syntactic and semantic information. I mostly rely on deep learning and spectral methods to develop such framework. I also have experience with parsing and other structured prediction problems.
Previously, I was a doctoral student at Université de Lorraine, Nancy, working at Loria INRIA under the supervision of Claire Gardent. I was awarded an Erasmus Mundus Masters scholarship in Language and Communication Technology (EM-LCT). I did my major (Bachelor of Technology, Honors) in Computer Science and Engineering from Indian Institute of Technology (IIT), Kharagpur India.
- Feb, 2018
- Our long paper "Ranking Sentences for Extractive Summarization with Reinforcement Learning" with Shay B. Cohen and Mirella Lapata will appear at NAACL 2018.
- Our tutorial proposal called "Deep Learning Approaches for Text Production" with Claire Gardent got accepted for NAACL 2018.
- Dec, 2017
- Area chair for Generation, NAACL HLT 2018.
- Sep 21, 2017
- The automatic evaluation results from the WebNLG challenge are now publically available here. Thanks for participating!
- Sep 18, 2017
- We are pleased to announce our Rainbow Parser from Narayan and Cohen (EMNLP'15 and ACL'16). This includes code for training and decoding with latent-variable probabilistic context-free grammars (L-PCFGs).