An Approach to Solve Winograd Schema Challenge Using Automatically Extracted Commonsense Knowledge. - Arpit Sharma 001; Nguyen Ha Vo; Shruti Gaur; Chitta Baral (AAAI Spring Symposia, 2015)

Identifying Various Kinds of Event Mentions in K-Parser Output. - Arpit Sharma 001; Nguyen Ha Vo; Somak Aditya; Chitta Baral (EVENTS@HLP-NAACL, 2015)

Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module. - Arpit Sharma 001; Nguyen Ha Vo; Somak Aditya; Chitta Baral (IJCAI, 2015)

Automatic Extraction of Events-Based Conditional Commonsense Knowledge. - Arpit Sharma 001; Chitta Baral (AAAI Workshop: Knowledge Extraction from Text, 2016)

Towards Understanding Natural Language: Semantic Parsing, Commonsense Knowledge Acquisition and Applications. - Arpit Sharma 001 (IJCAI, 2016)

Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge. - Ashok Prakash; Arpit Sharma 001; Arindam Mitra; Chitta Baral (ACL (1), 2019)

Using Answer Set Programming for Commonsense Reasoning in the Winograd Schema Challenge. - Arpit Sharma 001 (Theory Pract. Log. Program., 2019)

Retraining DistilBERT for a Voice Shopping Assistant by Using Universal Dependencies. - Pratik Jayarao; Arpit Sharma 001 (CoRR, 2021)

Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts. - Kun Qian 016; Maximillian Chen; Siyan Li; Arpit Sharma 001; Zhou Yu 005 (NAACL (Short Papers), 2025)