46 citations · 61 across the 5 of their papers we have counts for
5 papers
Content Enhanced BERT-based Text-to-SQL Generation
Tong Guo, Huilin Gao
We present a simple methods to leverage the table content for the BERT-based model to solve the text-to-SQL problem. Based on the observation that some of the table content match s…
Revisiting Semantic Representation and Tree Search for Similar Question Retrieval
Tong Guo, Huilin Gao
This paper studies the performances of BERT combined with tree structure in short sentence ranking task. In retrieval-based question answering system, we retrieve the most similar…
Using Database Rule for Weak Supervised Text-to-SQL Generation
Tong Guo, Huilin Gao
We present a simple way to do the task of text-to-SQL problem with weak supervision. We call it Rule-SQL. Given the question and the answer from the database table without the SQL…
Table2answer: Read the database and answer without SQL
Tong Guo, Huilin Gao
Semantic parsing is the task of mapping natural language to logic form. In question answering, semantic parsing can be used to map the question to logic form and execute the logic…
Bidirectional Attention for SQL Generation
Tong Guo, Huilin Gao
Generating structural query language (SQL) queries from natural language is a long-standing open problem. Answering a natural language question about a database table requires mode…