National University of Defense Technology

Yanying Mao

Fei Cai

Honghui Chen

Taihua Shao

Jianming Zheng

Mengru Wang

Dengfeng Liu

Siyuan Wang

Peihong Li

A method and an apparatus for few-shot relation classification and filtering, and a device are provided. The method includes: constructing a coarse-grained filter for filtering an unlabeled corpus to obtain candidate instances with a same entity as a seed instance and with similar semantics to the seed instance; constructing a fine-grained filter for filtering the candidate instances to obtain a candidate instance with a same relation concept as the seed instance; defining the candidate instance as a positive instance set, and defining candidate instances with different relation concepts from the seed instance as a negative sample set; constructing a false positive instance correction module for adjusting and controlling a proportion of the negative sample set used by a classifier during training; training the classifier based on a small number of obtained labeled instances belonging to a newly emerging relation and the adjusted positive instance set and negative sample set.

Method and apparatus for few-shot relation classification and filtering, and device

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Hunan, China

Yanying Mao