孙静,方艳,丁彬,等.利用扩展标记集的词结构分析[J].中文信息学报,2014,28(5):39-45.DOI:10.3969/j.issn.1003-0077.2014.05.005.SUN J,FANG Y,DING B,et al.A word structure analysis by extending the word tag set[J].Journal of Chinese Information Processing,2014,28(5):39-45.DOI:10.3969/j.issn.1003-0077.2014.05.005(Ch).
[3]
OKAZAKI N.CRFsuite:A Fast Implementation of Conditional Random Fields(CRFs)[DB/OL].[2008-03-05]http://www.chokkan.org/software/crfsuite.
[4]
孟凡东,徐金安,姜文斌,等.异种语料融合方法:基于统计的中文词法分析应用[J].中文信息学报,2012,26(2):3-8.DOI:10.3969/j.issn.1003-0077.2012.02.001.MENG F D,XU J A,JIANG W B,et al.A method of merging corpora in different annotation standards:An application statistics Chinese lexical analysis[J].Journal of Chinese Information Processing,2012,26(2):3-8.DOI:10.3969/j.issn.1003-0077.2012.02.001(Ch).
[5]
WU A.Customizable segmentation of morphologically derived words in Chinese[J].Int Journal of Computational Linguistics and Chinese Language Processing,2003,8(1):1-27.
[6]
ZHAO H.Character-level Dependencies in Chinese:Usefulness and Learning[DB/OL].[2016-03-09].http://aclweb.org/anthology/E09-1100.DOI:10.3115/1609067.1609165.
[7]
DONG Z,DONG Q,HAO C.Word Segmentation Needs Change-From A Linguist’s View[DB/OL].[2016-04-09].http://www.aclweb.org/anthology/W/W10/W10-4101.pdf.
[8]
方艳,周国栋.基于层叠CRF模型的词结构分析[J].中文信息学报,2015,29(4):1-7.DOI:10.3969/j.issn.1003-0077.2015.04.001.FANG Y,ZHOU G D.Word structure analysis based on cascaded CRFs[J].Journal of Chinese Information Processing,2015,29(4):1-7.DOI:10.3969/j.issn.1003-0077.2015.04.001(Ch).
[9]
JIANG W,HUANG L,LIU Q.Automatic Adaptation of Annotation Standards:Chinese Word Segmentation and POS Tagging---A Case Study[DB/OL].[2016-04-03].http://aclweb.org/anthology/P09-1059.DOI:10.3115/1687878.1687952.
[10]
CHENG F,DUH K,MATSUMOTO Y.Synthetic Word Parsing Improves Chinese Word Segmentation[DB/OL].[2016-03-12].http://aclweb.org/anthology/P15-2043.DOI:10.3115/v1/P15-2043.
[11]
LAFFERTY J,MCCALLUM A,PEREIRA F.Conditional random fields:Probabilistic models for segmenting and labeling sequence data[C]//Proceedings of the 8th International Conference on Machine Learning.Williamstown:Morgan Kaufmann,2001:282-289.
[12]
LI Z.Parsing the Internal Structure of Words:A New Paradigm for Chinese Word Segmentation[DB/OL].[2016-02-23].http://aclweb.org/anthology/P11-1141.
[13]
ZHANG K,WANG C,SUN M.Binary tree based Chinese word segmentation[J].Decision Support Systems,2013,46(1):149-157.
[14]
SUN W,XU J.Enhancing Chinese Word Segmentation Using Unlabeled Data[DB/OL].[2016-03-16].http://aclweb.org/anthology/D11-1090.
[15]
张梅山,邓知龙,车万翔,等.统计与词典相结合的领域自适应中文分词[J].中文信息学报,2012,26(2):8-13.DOI:10.3969/j.issn.1003-0077.2012.02.002.ZHANG M S,DENG Z L,CHE W X,et al.Combining statistical model and dictionary for domain adaption of Chinese word segmentation[J].Journal of Chinese Information Processing,2012,26(2):8-13.DOI:10.3969/j.issn.1003-0077.2012.02.002(Ch).
[16]
ZHAO H,HUANG C N,LI M,et al.Effective Tag Set Selection in Chinese Word Segmentation via Conditional Random Field Modeling[DB/OL].[2016-03-03].http://aclweb.org/anthology/Y06-1012.
[17]
CHENG F,DUH K,MATSUMOTO Y.Parsing Chinese Synthetic Words with a Character-Based Dependency Model[DB/OL].[2016-02-06].http://www.lrec-conf.org/proceedings/lrec2014/pdf/96_Paper.pdf.
[18]
ZHANG L,WANG H,SUN X.Exploring Representations from Unlabeled Data with Co-Training for Chinese Word Segmentation[DB/OL].[2016-02-03].http://aclweb.org/anthology/D13-1031.
