Research Area:  Machine Learning
The volume of natural language text data has been rapidly increasing over the past two decades, due to factors such as the growth of the Web, the low cost associated to publishing and the progress on the digitization of printed texts. This growth combined with the proliferation of natural language systems for search and retrieving information provides tremendous opportunities for studying some of the areas where database systems and natural language processing systems overlap. This tutorial explores two more relevant areas of overlap to the database community: (1) managing natural language text data in a relational database, and (2) developing natural language interfaces to databases. The tutorial presents state-of-the-art methods, related systems, research opportunities and challenges covering both areas.
Author(s) Name:  Yunyao Li , Davood Rafiei
Conferrence name:  SIGMOD -17: Proceedings of the 2017 ACM International Conference on Management of Data
Publisher name:  Association for Computing Machinery
Paper Link:   https://dl.acm.org/doi/abs/10.1145/3035918.3054783