Domain Specific Question Answering

A domain specific question answering system based on ontology and question templates abstract.

Domain specific question answering. I am working on a project to create an qa system for a given text book on a specific domain and answer all related questions one approach i am considering for this is to create an ontology knowledge base and then use this for answer retrieval. What is question answering. Closed domain question answering deals with questions under a specific domain for example medicine or automotive maintenance and can exploit domain. Active 4 years 3 months ago.

There are two types of question answering systems according to the domain of answers as. The rapid growth in the development of internet based information systems increases the demand for natural language interfaces that are easy to set up and maintain. However since last year the fiel d of natural language processing nlp has experienced a fast evolution thanks to the development in deep learning research and the advent of transfer learning techniques. For text classification two corpus one of questions and the other of answers were compiled and organized in 11 categories.

Closed domain qa and open domain qa. Ask question asked 4 years 3 months ago. Question answering research attempts to deal with a wide range of question types including. Question answering is a computer science discipline within the fields of information retrieval and natural language processing nlp which is concerned with building systems that automatically answer questions posed by humans in a natural language.

A question answering system on domain specific knowledge with semantic web support article pdf available january 2011 with 255 reads how we measure reads. Approaches for implementing domain specific question answering system. Fact list definition how why hypothetical semantically constrained and cross lingual questions. 2 begingroup given several wikipedia articles on different movies.

Almost 70 years later question answering qa a sub domain of mc is still one of the most difficult tasks in ai. The most important components include question classification answer classification and faq finder. What are the. Closed domain question answering deals with the questions under a specific domain and can be seen as an easier task because nlp systems can exploit domain specific knowledge frequently formalized in ontologies.

I want to create a domain specific qa system. Explore and run machine learning code with kaggle notebooks using data from covid 19 open research dataset challenge cord 19.