Integrated Chinese Segmentation, Parsing and Named Entity Recognition  

作　　者：LI Dongchen ZHANG Xiantao WU Xihong 

机构地区：[1]Key Laboratory of Machine Perception and Intelligence Speech and Hearing Research Center,Peking University

出　　处：《Chinese Journal of Electronics》2018年第4期756-760,共5页电子学报（英文版）

基　　金：supported by the National Basic Research Program of China(973 Program)(No.2013CB329304);the Research Special Fund for Public Welfare Industry of Health(No.201202001);the Key National Social Science Foundation of China(No.12&ZD119);the National Natural Science Foundation of China(No.91120001)

摘　　要：Segmentation, named entity recognition and parsing are standalone techniques in natural language processing community, and their annotations are inconsistent. However, the joint output is needed in some practical use, and they rely on the result of each other to make more concise output. A unified model is learned to resolve these three tasks simultaneously. At the training stage, the joint annotation of the three tasks are employed to learn a unified model. At the decoding stage, the three tasks are carried out on a given text to provide a consistent output.Experiment results demonstrate the higher performance for each task and verify the benefits of the unified framework.Segmentation, named entity recognition and parsing are standalone techniques in natural language processing community, and their annotations are inconsistent. However, the joint output is needed in some practical use, and they rely on the result of each other to make more concise output. A unified model is learned to resolve these three tasks simultaneously. At the training stage, the joint annotation of the three tasks are employed to learn a unified model. At the decoding stage, the three tasks are carried out on a given text to provide a consistent output.Experiment results demonstrate the higher performance for each task and verify the benefits of the unified framework.

关 键 词：PARSING Joint representation Named entity recognition 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]