Rakuten Group, Inc.

Koji Murakami

Yuki Nakayama

Chen Zhao

Yuto Oikawa

A chunking execution system including at least one processor which acquires a search query including at least one token; executes matching with use of dictionary data based on the search query; acquires an output from a learning model on chunking based on the search query; and executes chunking on the search query based on a result of executing the matching and the output from the learning model.

Chunking execution system, chunking execution method, and information storage medium

Provided is a data augmentation system including at least one processor configured to: acquire a first search query including a first named entity, which was actually input in a search executed in a past; execute training of a first model that outputs a second search query including a virtual second named entity, which is different from the first named entity, based on the first search query; and execute data augmentation based on the second search query output by the trained first model.

Data augmentation system, data augmentation method, and information storage medium

Provided is a live distribution system including at least one processor configured to: acquire a viewer comment input by a viewer of a live distribution service; estimate whether the viewer comment is appropriate based on a first model that has learned a first training comment; determine whether a first score relating to an estimation accuracy of the first model satisfies a predetermined first criterion; avoid, when the first score is determined to satisfy the first criterion, estimation based on a second model that has learned a second training comment; and estimate, when the first score is determined not to satisfy the first criterion, whether the viewer comment is appropriate based on the second model.

Growing community of inventors

Eastchester, NY, United States of America

Koji Murakami