activity
20122024
most citedAutomatic Sarcasm Detection: A Survey

108 citations · 707 across the 92 of their papers we have counts for

collaborators
Showing 2021Show all

19 papers · 1 filter

cs.CL2021

Utilizing Wordnets for Cognate Detection among Indian Languages

Diptesh Kanojia, Kevin Patel, Pushpak Bhattacharyya +2

Automatic Cognate Detection (ACD) is a challenging task which has been utilized to help NLP applications like Machine Translation, Information Retrieval and Computational Phylogene…

cs.CL2021★ 24 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.CL2021★ 3 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

Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction

Manas Jain, Sriparna Saha, Pushpak Bhattacharyya +2

Question Answering systems these days typically use template-based language generation. Though adequate for a domain-specific task, these systems are too restrictive and predefined…