Bocki Saujanya received her MS Dual Degree in Computational Linguistics (CL). Her research work was supervised by Dr. Radhika Mamidi. Here’s a summary of her research work on Ontology based question answering system for Telugu agriculture data:
Agriculture Ontology for Telugu language(AOT) is a new ontology for plants and their diseases that models semantic relations between the entities in this domain. The ontology provides a formal way for the representation of entities and their mutual relations. Several methodologies that exploit numerous techniques of various fields (machine learning, text mining, knowledge representation and reasoning, information retrieval, and natural language processing) proposed to bring some level of automation in ontology acquisition from unstructured text.
Question Answering Systems, Anaphora Resolution, Dialogue Systems are some of the realworld applications of ontology. This thesis presents a dataset of Ontology for the Telugu language and a Question Answering system which generates its responses by accessing a the ontology as its database. We create an architecture for a Telugu agriculture-based Question Answering system using Ontology as the data resource in this thesis. We used Machine Learning techniques for Question Classification, Named Entity Recognition for Keyword Extraction, to generate a query for ontology used for answer generation. A Question Answering system’s question analysis is a critical component. We attempted to categorise Telugu queries both semantically and architecturally. Structural classification aids us in accurately parsing questions and, as a result, correctly identifying question arguments. Semantic classification helps in the mapping of question arguments to Ontologies and, as a result, the extraction of replies from the data resource.
We give an architecture for an Interactive QA system as an extension to our QA system. For this we are extending our Ontology to accommodate a vector, which contains the symptoms of the disease in order to identify the disease when described by the farmer. We introduced a dialog manager to accommodate the new changes.