no code implementations • 9 Apr 2024 • Tong Wang, Ninad Kulkarni, Yanjun Qi
Assessing the factual consistency of automatically generated texts in relation to source context is crucial for developing reliable natural language generation applications.
no code implementations • AACL (knlp) 2020 • Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis
Finally, we propose a document similarity engine that leverages low-dimensional graph embeddings from the CKG with semantic embeddings for similar article retrieval.
no code implementations • 26 Sep 2016 • Omkar Kulkarni, Ninad Kulkarni, Anand J Kulkarni, Ganesh Kakandikar
The performance of the SCI and DCI have been compared with algorithms like GA, PSO, ABC, d-Ds.