Computation For Indian Language Technology - CFILT

Computation For Indian Language Technology - CFILT

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Computation for Indian Language Technology (CFILT) was set up with a generous grant from the Department of Information Technology (DIT), Ministry of Communication and Information Technology, Government of India in 2000 at the Department of Computer Science and Engineering, IIT Bombay. Prior to this the Natural Language Processing (NLP) activity of the CSE Department, IIT Bombay took off in 1996 wi

01/10/2020

Recently quite a few papers from CFILT have been accepted in top international conferences. Congrats to all authors. -Pushpak

COLING 2020

1. Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages, Diptesh Kanojia, Raj Dabre, Shubham Dewangan, Pushpak Bhattacharyya, Gholamreza Haffari and Malhar Kulkarni

2. Filtering Back-Translated Data in Unsupervised Neural Machine Translation, Jyotsana Khatri and Pushpak Bhattacharyya

3. A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings, Sapan Shah, Sreedhar Reddy and Pushpak Bhattacharyya

4. Analysing cross-lingual transfer in lemmatisation for Indian languages, Kumar Saurav, Kumar Saunack and Pushpak Bhattacharyya

Findings in EMNLP 2020

5. Looking inside Noun Compounds: Unsupervised Prepositional and Free Paraphrasing using Language Models, Girishkumar Ponkiya, Rudra Murthy, Pushpak Bhattacharyya and Girish Palshikar

AACL-IJCNLP 2020

6. Happy Are Those Who Grade without Seeing: A Multi-Task Learning: Approach to Grade Essays Using Gaze Behaviour, Sandeep Mathias, Rudra Murthy, Diptesh Kanojia, Abhijit Mishra and Pushpak Bhattacharyya

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