MULTI-HOP SEARCH FOR ENTITY RELATIONSHIPS

    公开(公告)号:US20220164679A1

    公开(公告)日:2022-05-26

    申请号:US17100697

    申请日:2020-11-20

    Abstract: An unsupervised multi-hop search across a corpus of documents in a database or other data resource permits the identification of relationships between two entities mentioned in the corpus in cases where the two entities are not co-mentioned within any documents in the corpus (or not mentioned within document(s) with sufficient frequency or proximity to infer the relationship). The search can employ a beam search algorithm anchored by word embeddings and an A* graph traversal to calculate semantic distance between the entities as different paths through the corpus for different entity co-mentions are evaluated.

    STABLE IDENTIFICATION OF ENTITY MENTIONS

    公开(公告)号:US20210342541A1

    公开(公告)日:2021-11-04

    申请号:US17306656

    申请日:2021-05-03

    Abstract: An entity-based platform stores a database of entity mentions and related, entity-based information obtained by processing text in a corpus of documents such as content from a public network or content from a document management system. The platform may analyze changes to a previously-processed document in order to align mentions in the modified document to mentions in a prior document and/or to identify new mentions not present in the previously-processed document. As the underlying documents in the corpus change over time, this advantageously permits sustained use of knowledge graphs and other entity-based representations or analysis linked to specific entity mentions.

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