SIBLING SEARCH QUERIES
    1.
    发明申请

    公开(公告)号:US20210334314A1

    公开(公告)日:2021-10-28

    申请号:US16615980

    申请日:2019-08-21

    申请人: Google LLC

    发明人: Tomer Shmiel

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a plurality of sibling search queries for an input search query. In one aspect, a method comprises: receiving an input search query that satisfies a context template comprising a sequence of one or more words and a wildcard, wherein a wildcard represents variable data, wherein the input search query satisfies the context template and comprises a target word sequence that corresponds to the wildcard in the context template; and determining a plurality of sibling search queries for the input search query, wherein each sibling search query satisfies the context template and comprises a sibling word sequence that corresponds to the wildcard in the context template.

    Question answering using entity references in unstructured data

    公开(公告)号:US11928168B2

    公开(公告)日:2024-03-12

    申请号:US17453413

    申请日:2021-11-03

    申请人: GOOGLE LLC

    摘要: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are caused to be generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

    QUESTION ANSWERING USING ENTITY REFERENCES IN UNSTRUCTURED DATA

    公开(公告)号:US20220058232A1

    公开(公告)日:2022-02-24

    申请号:US17453413

    申请日:2021-11-03

    申请人: Google LLC

    摘要: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are caused to be generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

    Sibling search queries
    4.
    发明授权

    公开(公告)号:US11379527B2

    公开(公告)日:2022-07-05

    申请号:US16615980

    申请日:2019-08-21

    申请人: Google LLC

    发明人: Tomer Shmiel

    摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a plurality of sibling search queries for an input search query. In one aspect, a method comprises: receiving an input search query that satisfies a context template comprising a sequence of one or more words and a wildcard, wherein a wildcard represents variable data, wherein the input search query satisfies the context template and comprises a target word sequence that corresponds to the wildcard in the context template; and determining a plurality of sibling search queries for the input search query, wherein each sibling search query satisfies the context template and comprises a sibling word sequence that corresponds to the wildcard in the context template.

    Question answering using entity references in unstructured data

    公开(公告)号:US11176212B2

    公开(公告)日:2021-11-16

    申请号:US16419288

    申请日:2019-05-22

    申请人: Google LLC

    摘要: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

    QUESTION ANSWERING USING ENTITY REFERENCES IN UNSTRUCTURED DATA

    公开(公告)号:US20190272302A1

    公开(公告)日:2019-09-05

    申请号:US16419288

    申请日:2019-05-22

    申请人: Google LLC

    摘要: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.