Papers by Dwaipayan Roy

2 papers
A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages (2020.lrec-1)

Copied to clipboard

Challenge: a systematic comparison of information coverage in English Wikipedia and Wikipedias in eight other widely spoken languages is needed to bridge the information gap.
Approach: They compare information coverage in English Wikipedia and Wikipedias in eight other widely spoken languages.
Outcome: The analysis quantifies and provides useful insights about the information gap that exists between different language editions of Wikipedia and offers a roadmap for the IR community to bridge this gap.
MAKED: Multi-lingual Automatic Keyword Extraction Dataset (2022.lrec-1)

Copied to clipboard

Challenge: a large dataset of news articles spanning 20 languages is lacking for keyword extraction.
Approach: They propose a large-scale multi-lingual keyword extraction dataset for 11 of 20 languages . authors believe it will help advance the field of automatic keyword extraction .
Outcome: The proposed dataset is the first for 11 of 20 languages and is based on 540K+ news articles from the BBC News network.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations