公开(公告)号：US11093813B2

公开(公告)日：2021-08-17

申请号：US15787615

申请日：2017-10-18

Applicant: Google Inc.

Inventor： Ni Lao ,  Lukasz Mieczyslaw Kaiser ,  Nitin Gupta ,  Afroz Mohiuddin ,  Preyas Popat

IPC: G06N5/04 ,  G06N3/00 ,  G06N3/04 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying answers to questions using neural networks. One of the methods includes receiving an input text passage and an input question string; processing the input text passage using an encoder neural network to generate a respective encoded representation for each passage token in the input text passage; at each time step: processing a decoder input using a decoder neural network to update the internal state of the decoder neural network; and processing the respective encoded representations and a preceding output of the decoder neural network using a matching vector neural network to generate a matching vector for the time step; and generating an answer score that indicates how well the input text passage answers a question posed by the input question string.

公开(公告)号：US20180114108A1

公开(公告)日：2018-04-26

申请号：US15787615

申请日：2017-10-18

Applicant: Google Inc.

Inventor： Ni Lao ,  Lukasz Mieczyslaw Kaiser ,  Nitin Gupta ,  Afroz Mohiuddin ,  Preyas Popat

IPC: G06N3/00 ,  G06N3/04

CPC classification number: G06N3/006 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/084 ,  G06N5/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying answers to questions using neural networks. One of the methods includes receiving an input text passage and an input question string; processing the input text passage using an encoder neural network to generate a respective encoded representation for each passage token in the input text passage; at each time step: processing a decoder input using a decoder neural network to update the internal state of the decoder neural network; and processing the respective encoded representations and a preceding output of the decoder neural network using a matching vector neural network to generate a matching vector for the time step; and generating an answer score that indicates how well the input text passage answers a question posed by the input question string.

公开(公告)号：US20170011116A1

公开(公告)日：2017-01-12

申请号：US15195364

申请日：2016-06-28

Applicant: Google Inc.

Inventor： Yi Liu ,  Preyas Popat ,  Nitin Gupta ,  Afroz Mohiuddin

IPC: G06F17/30

CPC classification number: G06F16/3334 ,  G06F16/3329 ,  G06F16/35

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating answers to answer-seeking queries. One of the methods includes receiving a query having multiple terms. The query is classified as an answer-seeking query of a particular question type, and one or more answer types associated with the particular question type are obtained. Search results satisfying the query are obtained, and a respective score is computed for each of one or more passages of text occurring in each document identified by the search results, wherein the score for each passage of text is based on how many of the one or more answer types match the passage of text. A presentation that includes information from one or more of the passages of text selected based on the respective score is provided in response to the query.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于产生答案查询的答案。 其中一种方法包括接收具有多个术语的查询。 查询被分类为特定问题类型的答案寻求查询，并且获得与特定问题类型相关联的一个或多个答案类型。 获得满足查询的搜索结果，并且针对由搜索结果识别的每个文档中出现的每个文本中的每一个文本的每一个计算相应的分数，其中每次文本通过的分数基于一个或多个 更多的答案类型与文本的通过相符。 响应于该查询，提供包括基于相应分数所选择的一个或多个文本段落的信息的演示文稿。