公开(公告)号：US10747761B2

公开(公告)日：2020-08-18

申请号：US15885613

申请日：2018-01-31

Applicant: salesforce.com, inc.

Inventor： Victor Zhong ,  Caiming Xiong ,  Richard Socher

IPC: G06F16/2452 ,  G06N3/08 ,  G06N7/00 ,  G06N3/04 ,  G06N3/00 ,  G06F16/13 ,  G06F16/2457

Abstract: A computing system uses neural networks to translate natural language queries to database queries. The computing system uses a plurality of machine learning based models, each machine learning model for generating a portion of the database query. The machine learning models use an input representation generated based on terms of the input natural language query, a set of columns of the database schema, and the vocabulary of a database query language, for example, structured query language SQL. The plurality of machine learning based models may include an aggregation classifier model for determining an aggregation operator in the database query, a result column predictor model for determining the result columns of the database query, and a condition clause predictor model for determining the condition clause of the database query. The condition clause predictor is based on reinforcement learning.

公开(公告)号：US20190258939A1

公开(公告)日：2019-08-22

申请号：US15980207

申请日：2018-05-15

Applicant: salesforce.com, inc.

Inventor： Sewon Min ,  Victor Zhong ,  Caiming Xiong ,  Richard Socher

IPC: G06N3/08 ,  G06F17/27

Abstract: A natural language processing system that includes a sentence selector and a question answering module. The sentence selector receives a question and sentences that are associated with a context. For a question and each sentence, the sentence selector determines a score. A score represents whether the question is answerable with the sentence. Sentence selector then generates a minimum set of sentences from the scores associated with the question and sentences. The question answering module generates an answer for the question from the minimum set of sentences.

公开(公告)号：US20180336198A1

公开(公告)日：2018-11-22

申请号：US15885613

申请日：2018-01-31

Applicant: salesforce.com, inc.

Inventor： Victor Zhong ,  Caiming Xiong ,  Richard Socher

IPC: G06F17/30 ,  G06N3/08 ,  G06N7/00

Abstract: A computing system uses neural networks to translate natural language queries to database queries. The computing system uses a plurality of machine learning based models, each machine learning model for generating a portion of the database query. The machine learning models use an input representation generated based on terms of the input natural language query, a set of columns of the database schema, and the vocabulary of a database query language, for example, structured query language SQL. The plurality of machine learning based models may include an aggregation classifier model for determining an aggregation operator in the database query, a result column predictor model for determining the result columns of the database query, and a condition clause predictor model for determining the condition clause of the database query. The condition clause predictor is based on reinforcement learning.