公开(公告)号：US10180964B1

公开(公告)日：2019-01-15

申请号：US14824654

申请日：2015-08-12

Applicant: Google LLC

Inventor： Steven D. Baker ,  Srinivasan Venkatachary ,  Robert Andrew Brennan ,  Per Bjornsson ,  Yi Liu ,  Nitin Gupta ,  Diego Federici ,  Lingkun Chu

IPC: G06F7/00 ,  G06F17/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating candidate answer passages. In one aspect, a method includes receiving a query determined to be a question query data identifying resources determined to be responsive to the query; for each resource in a top-ranked subset of the resources: identifying a plurality of passage units in the resource; applying a set of passage unit selection criterion to the passage units, each passage unit selection criterion specifying a condition for inclusion of a passage unit in a candidate answer passage, wherein a first subset of passage unit selection criteria applies to structured content and a second subset of passage unit selection criteria applies to unstructured content; and generating, from passage units that satisfy the set of passage unit selection criterion, a set of candidate answer passages.

公开(公告)号：US10592540B2

公开(公告)日：2020-03-17

申请号：US15195364

申请日：2016-06-28

Applicant: Google LLC

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

IPC: G06F16/00 ,  G06F16/33 ,  G06F16/35 ,  G06F16/332

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.

公开(公告)号：US11853307B1

公开(公告)日：2023-12-26

申请号：US16457436

申请日：2019-06-28

Applicant: Google LLC

Inventor： Anwis Das ,  Abhinandan Sujit Das ,  Nitin Gupta ,  Renshen Wang

IPC: G06F16/2457 ,  G06F16/9535

CPC classification number: G06F16/24578 ,  G06F16/9535

Abstract: Methods and apparatus for providing query suggestions to a user based on one or more past queries submitted by the user. Candidate query suggestions responsive to a current query may be identified. A candidate query similarity measure may be determined for a given candidate query suggestion based on matching entities related to the given candidate query suggestion and the one or more past queries. In some implementations, the similarity measure of the given candidate query suggestion may be based on a comparison of current entities of the given candidate query suggestion that match entities of one or more past queries, to a group of the current entities that includes entities that do not match the entities of one or more past queries. In some implementations a ranking of the candidate query suggestions may be determined based on the similarity measure.

公开(公告)号：US11409748B1

公开(公告)日：2022-08-09

申请号：US15923385

申请日：2018-03-16

Applicant: Google LLC

Inventor： Nitin Gupta ,  Srinivasan Venkatachary ,  Lingkun Chu ,  Steven D. Baker

IPC: G06F16/2457

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for context scoring adjustments for candidate answer passages. In one aspect, a method includes scoring candidate answer passages. For each candidate answer passage, the system determines a heading vector that describes a path in the heading hierarchy from the root heading to the respective heading to which the candidate answer passage is subordinate; determines a context score based, at least in part, on the heading vector; and adjusts answer score of the candidate answer passage at least in part by the context score to form an adjusted answer score. The system then selects an answer passage from the candidate answer passages based on the adjusted answer scores.

公开(公告)号：US09959315B1

公开(公告)日：2018-05-01

申请号：US14169960

申请日：2014-01-31

Applicant: Google LLC

Inventor： Nitin Gupta ,  Srinivasan Venkatachary ,  Lingkun Chu ,  Steven D. Baker

IPC: G06F17/30

CPC classification number: G06F17/30528 ,  G06F17/30675

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for context scoring adjustments for candidate answer passages. In one aspect, a method includes scoring candidate answer passages. For each candidate answer passage, the system determines a heading vector that describes a path in the heading hierarchy from the root heading to the respective heading to which the candidate answer passage is subordinate; determines a context score based, at least in part, on the heading vector; and adjusts answer score of the candidate answer passage at least in part by the context score to form an adjusted answer score. The system then selects an answer passage from the candidate answer passages based on the adjusted answer scores.

公开(公告)号：US12216669B1

公开(公告)日：2025-02-04

申请号：US18519321

申请日：2023-11-27

Applicant: GOOGLE LLC

Inventor： Anwis Das ,  Abhinandan Sujit Das ,  Nitin Gupta ,  Renshen Wang

IPC: G06F16/2457 ,  G06F16/9535

Abstract: Methods and apparatus for providing query suggestions to a user based on one or more past queries submitted by the user. Candidate query suggestions responsive to a current query may be identified. A candidate query similarity measure may be determined for a given candidate query suggestion based on matching entities related to the given candidate query suggestion and the one or more past queries. In some implementations, the similarity measure of the given candidate query suggestion may be based on a comparison of current entities of the given candidate query suggestion that match entities of one or more past queries, to a group of the current entities that includes entities that do not match the entities of one or more past queries. In some implementations a ranking of the candidate query suggestions may be determined based on the similarity measure.