https://tomroth.dev/tags/nlp/Recent content in nlp on Tom RothHugo -- gohugo.ioenThu, 20 Jun 2019 00:00:00 +0000https://tomroth.dev/seq2sql/Thu, 20 Jun 2019 00:00:00 +0000https://tomroth.dev/seq2sql/Seq2SQL: Generating structured queries from Natural Language using Reinforcement Learning (2017) Link to heading Paper link: https://arxiv.org/pdf/1709.00103.pdf Authors: Victor Zhong, Caiming Xiong, Richard Socher Here’s my notes from this paper. Seq2SQL uses the Seq2Seq model as a starting point The output of the seq2seq model is unnecessarily wide for SQL queries. In other words, the paper is only interested in a small subset of the seq2seq output space. As a result, the output of Seq2SQL is limited to the union of words in the question, SQL commands and table headers The paper created its own datasets.