Domino at FinCausal 2020, Task 1 and 2: Causal Extraction System

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.

Information Retrieval Question Answering +3

Task-Oriented Dialog Systems for Dravidian Languages

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.

Machine Translation

“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media

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.

Misinformation Rumour Detection +1

Detecting Community Sensitive Norm Violations in Online Conversations

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.