no code implementations • EMNLP (WNUT) 2020 • Karthik Radhakrishnan, Tushar Kanakagiri, Sharanya Chakravarthy, Vidhisha Balachandran
The rise in the usage of social media has placed it in a central position for news dissemination and consumption.
1 code implementation • EMNLP (intexsempar) 2020 • Karthik Radhakrishnan, Arvind Srikantan, Xi Victoria Lin
Translating natural language utterances to executable queries is a helpful technique in making the vast amount of data stored in relational databases accessible to a wider range of non-tech-savvy end users.
1 code implementation • FNP (COLING) 2020 • Sharanya Chakravarthy, Tushar Kanakagiri, Karthik Radhakrishnan, Anjana Umapathy
Automatic identification of cause-effect relationships from data is a challenging but important problem in artificial intelligence.
no code implementations • EMNLP (sdp) 2020 • Anjana Umapathy, Karthik Radhakrishnan, Kinjal Jain, Rahul Singh
In academic publications, citations are used to build context for a concept by highlighting relevant aspects from reference papers.
no code implementations • EACL (DravidianLangTech) 2021 • Tushar Kanakagiri, Karthik Radhakrishnan
Task-oriented dialog systems help a user achieve a particular goal by parsing user requests to execute a particular action.
no code implementations • 25 May 2023 • Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro
Real-life multilingual systems should be able to efficiently incorporate new languages as data distributions fed to the system evolve and shift over time.
1 code implementation • Findings (EMNLP) 2021 • Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, Yulia Tsvetkov
Online platforms and communities establish their own norms that govern what behavior is acceptable within the community.
1 code implementation • 19 Oct 2020 • Karthik Radhakrishnan, Arvind Srikantan, Xi Victoria Lin
Translating natural language utterances to executable queries is a helpful technique in making the vast amount of data stored in relational databases accessible to a wider range of non-tech-savvy end users.