Anu question answering system
Balaji Ganesan, Avirup Saha, et al.
ISWC-Posters 2020
In this paper, we extend the state-of-the-art NLIDB system and present a dialog interface to relational databases. Dialog interface enables users to automatically exploit the semantic context of the conversation while asking natural language queries over RDBMS, thereby making it simpler to express complex questions in a natural, piece-wise manner. We propose novel ontology-driven techniques for addressing each of the dialog-specific challenges such as coreference resolution, ellipsis resolution, and query disambiguation, and use them in determining the overall intent of the user query. We demonstrate the applicability and usefulness of dialog interface over two different domains viz. finance and healthcare.
Balaji Ganesan, Avirup Saha, et al.
ISWC-Posters 2020
Vinit S. Unni, Ashish Mittal, et al.
INTERSPEECH 2023
Diptikalyan Saha, Pankaj Dhoolia, et al.
ESEC/FSE 2013
Philips George John, Deepak Vijaykeerthy, et al.
UAI 2020