5 citations · 5 across the 9 of their papers we have counts for
17 papers
Harnessing Abstractive Summarization for Fact-Checked Claim Detection
Varad Bhatnagar, Diptesh Kanojia, Kameswari Chebrolu
Social media platforms have become new battlegrounds for anti-social elements, with misinformation being the weapon of choice. Fact-checking organizations try to debunk as many cla…
HiNER: A Large Hindi Named Entity Recognition Dataset
Rudra Murthy, Pallab Bhattacharjee, Rahul Sharnagat +3
Named Entity Recognition (NER) is a foundational NLP task that aims to provide class labels like Person, Location, Organisation, Time, and Number to words in free text. Named Entit…
PLOD: An Abbreviation Detection Dataset for Scientific Documents
Leonardo Zilio, Hadeel Saadany, Prashant Sharma +2
The detection and extraction of abbreviations from unstructured texts can help to improve the performance of Natural Language Processing tasks, such as machine translation and info…
An Ensemble Approach to Acronym Extraction using Transformers
Prashant Sharma, Hadeel Saadany, Leonardo Zilio +2
Acronyms are abbreviated units of a phrase constructed by using initial components of the phrase in a text. Automatic extraction of acronyms from a text can help various Natural La…
Indian Language Wordnets and their Linkages with Princeton WordNet
Diptesh Kanojia, Kevin Patel, Pushpak Bhattacharyya
Wordnets are rich lexico-semantic resources. Linked wordnets are extensions of wordnets, which link similar concepts in wordnets of different languages. Such resources are extremel…
Semi-automatic WordNet Linking using Word Embeddings
Kevin Patel, Diptesh Kanojia, Pushpak Bhattacharyya
Wordnets are rich lexico-semantic resources. Linked wordnets are extensions of wordnets, which link similar concepts in wordnets of different languages. Such resources are extremel…