Toward Data-Driven Tutorial Question Answering with Deep Learning Conversational Models
Mayank Kulkarni, Kristy Elizabeth Boyer · 2018
There has been an increase in popularity of data-driven question answering systems given their recent success.This paper explores the possibility of building a tutorial question answering system for Java programming from data sampled from a community-based question answering forum.This paper reports on the creation of a dataset that could support building such a tutorial question answering system and discusses the methodology to create the 106,386 question strong dataset.We investigate how retrieval-based and generative models perform on the given dataset.The work also investigates the usefulness of using hybrid approaches such as combining retrieval-based and generative models.The results indicate that building datadriven tutorial systems using communitybased question answering forums holds significant promise.