|Table of Contents|

Chinese Nested Named Entity Recognition Using a Joint Model(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2014年03期
Page:
29-
Research Field:
计算机科学
Publishing date:

Info

Title:
Chinese Nested Named Entity Recognition Using a Joint Model
Author(s):
Yin Di; Zhou Junsheng; Qu Weiguang
School of Computer Science and Technology,Nanjing Normal University,Nanjing 210023,China
Keywords:
nested named entity recognition; sequence labeling models; joint models; perceptron algorithm
PACS:
TP391
DOI:
-
Abstract:
Chinese nested named entity recognition is a very difficult problem in natural language processing.This paper presents a novel method based on a joint model,which treats the recognition of Chinese nested named entity as a task of joint word segmentation and labeling.The proposed method exploits an improved beam search algorithm as decoding algorithm,and uses the averaged perceptron algorithm as training algorithm,attaining fast convergence during training.The experimental results show that the joint model achieves better performance than two baseline systems using the traditional sequence labeling models.

References:

[1] 刘非凡,赵军,徐波.实体提及的多层嵌套识别方法研究[J].中文信息学报,2007,21(2):14-21.
[2]Fu Chunyuan,Fu Guohong.Morpheme-based Chinese nested named entity recognition[C]//The 9th International Conference on Fuzzy System and Knowlodge Discovery.Chendu:IEEE,2012:2 546-2 550.
[3]周俊生,戴新宇,尹存燕,等.基于层叠条件随机场的中文机构名自动识别[J].电子学报,2006,34(5):804-808.
[4]Alex B,Haddow B,Grover C.Recognising nested named entities in biomedical text[C]//Biological,Translational,and Clinical Language Processing,2007:65-72.
[5]Jenny Rose Finkel,Christopher D.Manning.Nested named entity recognition[C]//Proceedings of the Conference on Empirical Methods in Natural Language Processing.Singapore:ACL,2009:141-150.
[6]Lafferty J,McCallum A,Pereira F.Conditional random fields:Probabilistic models for segmenting and labeling sequence data[C]//Proceedings of the International Conference on Machine Learning.Williamstown:Morgan Kaufmann,2001:282-289.
[7]Yue Zhang,Stephen Clark.Joint word segmentation and POS tagging using a single perceptron[C]//Proceedings of ACL-HLT.Columbus:ACL,2008:888-896.
[8]Yue Zhang,Stephen Clark.A fast decoder for joint word segmentation and POS-tagging using a single discriminative model[C]//Proceedings of EMNLP.Cambridge:ACL,2010:843-852.
[9]Liang Huang,Suphan Fayong,Yang Guo.Structured perceptron with inexact search[C]//Proceedings of NAACL.Canada:ACL,2012:142-151.

Memo

Memo:
-
Last Update: 2014-09-30