公开(公告)号：US12073188B1

公开(公告)日：2024-08-27

申请号：US17499732

申请日：2021-10-12

Applicant: Amazon Technologies, Inc.

Inventor： Yifan Gao ,  Qingyu Yin ,  Zheng Li ,  Yiwei Song ,  Bing Yin

IPC: G06F40/58 ,  G06F16/33 ,  G06F40/284

CPC classification number: G06F40/58 ,  G06F16/3337 ,  G06F40/284

Abstract: Systems and methods for multilingual keyword generation for low-resource language passages are disclosed. For example, high-resource language passages describing items in a catalog or other such passages may include numerous keywords for classifying and searching for the item while a low-resource language description of the item may not include the same rich keyword environment due to lower usage and traffic in the low-resource language. The systems and methods herein provide for leveraging the high-resource language through a multilingual natural language processing algorithm to identify similar passages across language barriers and identify keywords in the high-resource language for input into a decoder to generate keywords in the low-resource language.

公开(公告)号：US12259914B1

公开(公告)日：2025-03-25

申请号：US17240724

申请日：2021-04-26

Applicant: Amazon Technologies, Inc.

Inventor： Yifan Gao ,  Henghui Zhu ,  Ramesh M. Nallapati ,  Patrick Ng ,  Cicero Nogueira Dos Santos ,  Zhiguo Wang ,  Feng Nan ,  Dejiao Zhang ,  Andrew Oliver Arnold ,  Bing Xiang

IPC: G06F16/332 ,  G06F16/3329 ,  G06F40/20 ,  G06N3/045 ,  G06N5/04 ,  G06N20/00

Abstract: Techniques for predicting an answer to a question using a machine learning model are described. In some examples, the model predicts one or more answers to the question by: predicting at least two answers to the question using a first component of the question-answer model from a set of passages, generating, using a second component of the question-answer model, at least one question for each of the predicted at least two answers, and performing roundtrip predictions until each generated question only has one answer.