no code implementations • 2 Jun 2022 • Keyur Faldu, Amit Sheth, Prashant Kikani, Darshan Patel
Recently, quite a few novel neural architectures were derived to solve math word problems by predicting expression trees.
no code implementations • 29 Oct 2021 • Keyur Faldu, Amit Sheth, Prashant Kikani, Manas Gaur, Aditi Avasthi
Mathematical reasoning would be one of the next frontiers for artificial intelligence to make significant progress.
no code implementations • 2 Aug 2021 • Amit Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
To understand and validate an AI system's outcomes (such as classification, recommendations, predictions), that lead to developing trust in the AI system, it is necessary to involve explicit domain knowledge that humans understand and use.
Decision Making Explainable Artificial Intelligence (XAI) +1
no code implementations • 9 Apr 2021 • Keyur Faldu, Amit Sheth, Prashant Kikani, Hemang Akbari
We take BERT as a baseline model and implement the "Knowledge-Infused BERT" by infusing knowledge context from ConceptNet and WordNet, which significantly outperforms BERT and other recent knowledge-aware BERT variants like ERNIE, SenseBERT, and BERT_CS over eight different subtasks of GLUE benchmark.
no code implementations • 16 Oct 2020 • Manas Gaur, Keyur Faldu, Amit Sheth
The recent series of innovations in deep learning (DL) have shown enormous potential to impact individuals and society, both positively and negatively.
no code implementations • 6 Oct 2020 • Chintan Donda, Sayan Dasgupta, Soma S Dhavala, Keyur Faldu, Aditi Avasthi
We develop an Embibe Score Quotient model (ESQ) to predict test scores based on observed academic, behavioral and test-taking features of a student.