Recruit Co., Ltd.

Estevam Hruschka

Yutong Shao

Nikita Bhutani

Sajjadur Rahman

Disclosed embodiments relate to entity set expansion to associate with a text corpus. Techniques can include receiving unstructured data and a set of concepts associated with the data to determine, using a language model, a set of candidate entities in the data associated with the set of concepts, wherein the association is measured based on the relevancy of each candidate entity of the set of candidate entities to context of the data. Techniques can then determine, using a plurality of methods, associations between each candidate entity in the set of candidate entities and each concept in the concept of the set of concepts, wherein the each candidate entity is assigned a rank for each method of the plurality of methods. Techniques can use the assigned ranks to determine a combined rank of the each candidate entity of the set of candidate entities, wherein the combined rank of the each candidate entity is based on the assigned rank of the each candidate entity for the each method of the plurality of methods. Techniques can finally expand the entity set by determining a subset of entities of the set of candidate entities based on the combined rank of each candidate entity, wherein the subset of entities form the expanded entity set associated with the data.

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Mountain View, CA, United States of America

Estevam Hruschka