activity
20162022
most cited"A Passage to India": Pre-trained Word Embeddings for Indian Languages

24 citations · 37 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL20225 cited

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…

cs.CL202124 cited

"A Passage to India": Pre-trained Word Embeddings for Indian Languages

Kumar Saurav, Kumar Saunack, Diptesh Kanojia +1

Dense word vectors or 'word embeddings' which encode semantic properties of words, have now become integral to NLP tasks like Machine Translation (MT), Question Answering (QA), Wor…

cs.CL20213 cited

Challenge Dataset of Cognates and False Friend Pairs from Indian Languages

Diptesh Kanojia, Pushpak Bhattacharyya, Malhar Kulkarni +1

Cognates are present in multiple variants of the same text across different languages (e.g., "hund" in German and "hound" in English language mean "dog"). They pose a challenge to…

cs.CL2021

Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages

Diptesh Kanojia, Raj Dabre, Shubham Dewangan +3

Cognates are variants of the same lexical form across different languages; for example 'fonema' in Spanish and 'phoneme' in English are cognates, both of which mean 'a unit of soun…

cs.CL2021

Cognition-aware Cognate Detection

Diptesh Kanojia, Prashant Sharma, Sayali Ghodekar +3

Automatic detection of cognates helps downstream NLP tasks of Machine Translation, Cross-lingual Information Retrieval, Computational Phylogenetics and Cross-lingual Named Entity R…

cs.CL2021

Automated Evidence Collection for Fake News Detection

Mrinal Rawat, Diptesh Kanojia

Fake news, misinformation, and unverifiable facts on social media platforms propagate disharmony and affect society, especially when dealing with an epidemic like COVID-19. The tas…