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Natural Language Data Management and Interfaces: Recent Development and Open Challenges - 2017

Natural Language Data Management And Interfaces: Recent Development And Open Challenges

Research Paper on Natural Language Data Management And Interfaces: Recent Development And Open Challenges

Research Area:  Machine Learning

Abstract:

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.

Keywords:  
Natural Language
database systems
Machine Learning
Deep Learning

Author(s) Name:  Yunyao Li , Davood Rafiei

Journal name:  

Conferrence name:  SIGMOD -17: Proceedings of the 2017 ACM International Conference on Management of Data

Publisher name:  Association for Computing Machinery

DOI:  10.1145/3035918.3054783

Volume Information: