Rakuten Group, Inc.

Makoto Tsutsumi

Koji Murakami

Takashi Umeda

Yuki Nakayama

Even when there are many candidates for a linked entity, accuracy of estimating an entity related to a term that appears on given writing is improved. A classification device stores a first model generated by using a corpus including pieces of first writing related to predetermined entities, and a second model generated by using a corpus including the pieces of first writing. Features of terms included in the first writing are acquired from the first model. Features of the pieces of first writing are acquired from the second model. The classification device causes the first model to output first information indicating entities indicated by terms, which has similarity in a feature to a second term included in second writing, among first terms indicating the predetermined entities. The classification device causes the second model to output second information indicating entities related to pieces of writing, which has similarity in a feature to the second writing, among the pieces of first writing. The classification device determines linking of the second term based on the first information and the second information.

Classification device, classification method, generation method, classification program, and generation program

At least one processor of a sentence extraction system specifies at least one candidate sentence based on a predetermined extraction condition, the candidate sentence being a candidate for a sentence to be extracted from among a plurality of sentences; specifies at least one linked sentence that has a link to the at least one candidate sentence; and determines whether to extract the at least one linked sentence, based on whether to extract the at least one candidate sentence.

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Tokyo, Japan

Makoto Tsutsumi