Neural models for named-entity recognition

    公开(公告)号:US11295083B1

    公开(公告)日:2022-04-05

    申请号:US16142832

    申请日:2018-09-26

    Abstract: Techniques for named-entity recognition are described. An exemplary implementation of a method includes extracting character features for each word of the document using a first encoder; extracting word level representations of for each word position using a second encoder, the word level representations being a concatenation of spelling variants; classifying the word level representations according to a first decoder; and outputting the classifications as named-entity labels.

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