Shashi Narayan

Research Associate
Informatics Forum 338
School of Informatics
The University of Edinburgh
10 Crichton Street
Edinburgh EH8 9AB, UK
Phone: +44 (0)131 650 4418
email: Shashi.Narayan(at){,}

My research focuses on natural language understanding and generation. I aim to develop general frameworks for generation from underlying meaning representation or for text rewriting such as summarization, text simplification and paraphrase generation. The idea is to develop a general framework that is not specific to an application and which incorporates syntactic and semantic information. I also have experience with parsing and other structured prediction problems.

Currently, I am working with Shay Cohen on the H2020 SUMMA project. I closely collaborate with Mirella Lapata and Claire Gardent. I am part of the cohort and EdinburghNLP groups.

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.

Recent News

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).

Sep 10, 2017
Our Split and Rephrase benchmark will be soon made available at Github. An unoffical version is already available on request.

Sep 9, 2017
Presenting our paper Split and Rephrase at EMNLP in Copenhagen. Please attend!

Sep 5, 2017
Claire will present results of our WebNLG challenge at INLG in Compostela, Spain. Stay tuned for more!

July 31, 2017
Claire will present our paper Creating Training Corpora for Micro-Planners at ACL in Vancouver, Canada. Please attend!

July 27, 2017
Attending Google NLU workshop in New York.

mailto googlescholar github