Microsoft Technology Licensing, LLC

Vikas Bahirwani

Weizhu Chen

Pengcheng He

Matthew Brigham Hall

Eslam K Abdelreheem

Jiayuan Huang

Yu Zhao

Yuting Sun

Jade Huang

Methods, systems, apparatuses, and computer program products are provided for extracting an entity value from a sentence. An embedding set that may include one or more sentence embeddings is generated for at least part of a first sentence that is tagged to associate a first named entity in the sentence with an entity type. A plurality of candidate embeddings is also generated for at least part of a second sentence. The one or more sentence embeddings in the embedding set may be compared with each of the plurality of candidate embeddings, and a match score may be assigned to each comparison to generate a match score set. A particular match score of the match score set may be identified that exceeds a similarity threshold, and an entity value of the entity type may be extracted from the second sentence associated with the identified match score.

Example based entity extraction, slot filling and value recommendation

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Seattle, WA, United States of America

Vikas Bahirwani