公开(公告)号：US11055354B2

公开(公告)日：2021-07-06

申请号：US15803698

申请日：2017-11-03

Applicant: salesforce.com, inc.

Inventor： Peter Francis White ,  Michael Micucci ,  Scott Douglas White ,  Weiping Peng ,  Anjan Goswami ,  Pranav Suresh Shah ,  Prakash Mallick ,  Pingping Xiu ,  Zhenhua Xu

IPC: G06F16/90 ,  G06F16/9032 ,  G06F16/332 ,  G06F16/9038 ,  G06F16/9535

Abstract: Methods, systems, and devices for processing and answering a natural language query at a database server are described. An end user may submit a question in natural language over a communication platform. An answer engine running on the database server may receive the question, and may process the content of the question using natural language processing (NLP) techniques. The answer engine may construct a search query based on the NLP, and may retrieve a set of documents from a database using the search query. The answer engine may rank the documents, prune the number of documents, modify the documents for the given communication platform, or perform any combination of these functions. In some cases, an intermediate user may review the documents, and may select one or more documents for publication. The answer engine may send the selected documents to the end user as answers in response to the question.

公开(公告)号：US20190138660A1

公开(公告)日：2019-05-09

申请号：US15803698

申请日：2017-11-03

Applicant: salesforce.com, inc.

Inventor： Peter Francis White ,  Michael Micucci ,  Scott Douglas White ,  Weiping Peng ,  Anjan Goswami ,  Pranav Suresh Shah ,  Prakash Mallick ,  Pingping Xiu ,  Zhenhua Xu

IPC: G06F17/30

Abstract: Methods, systems, and devices for processing and answering a natural language query at a database server are described. An end user may submit a question in natural language over a communication platform. An answer engine running on the database server may receive the question, and may process the content of the question using natural language processing (NLP) techniques. The answer engine may construct a search query based on the NLP, and may retrieve a set of documents from a database using the search query. The answer engine may rank the documents, prune the number of documents, modify the documents for the given communication platform, or perform any combination of these functions. In some cases, an intermediate user may review the documents, and may select one or more documents for publication. The answer engine may send the selected documents to the end user as answers in response to the question.