A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System
Arjun Akula, Rajeev Sangal, Radhika Mamidi · International Joint Conference on Natural Language Processing · 2013
This paper presents a novel approach to categorize, model and identify contextual information in natural language interface to database (NLIDB) systems. The interactions between user and system are categorized and modeled based on the way in which the contextual information is utilized in the interactions. A relationship schema among the responses (user and system responses) is proposed. We present a novel method to identify contextual information in one specific type of usersystem interaction. We report on results of experiments with the university related queries.