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：US10783156B1

公开(公告)日：2020-09-22

申请号：US15902659

申请日：2018-02-22

Applicant: Google LLC

Inventor： Steven D. Baker ,  Srinivasan Venkatachary ,  Robert Andrew Brennan ,  Per Bjornsson ,  Yi Liu ,  Hadar Shemtov ,  Massimiliano Ciaramita ,  Ioannis Tsochantaridis

IPC: G06F16/00 ,  G06F16/2457 ,  G06F16/2452 ,  G06F16/24

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for scoring candidate answer passages. In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; for a subset of the resources: receiving candidate answer passages; determining, for each candidate answer passage, a query term match score that is a measure of similarity of the query terms to the candidate answer passage; determining, for each candidate answer passage, an answer term match score that is a measure of similarity of answer terms to the candidate answer passage; determining, for each candidate answer passage, a query dependent score based on the query term match score and the answer term match score; and generating an answer score that is a based on the query dependent score.