[1]王一成,万福成,马宁.融合多层次特征的中文语义角色标注[J].智能系统学报,2020,15(1):107-113.[doi:10.11992/tis.201910012]
 WANG Yicheng,WAN Fucheng,MA Ning.Chinese semantic role labeling with multi-level linguistic features[J].CAAI Transactions on Intelligent Systems,2020,15(1):107-113.[doi:10.11992/tis.201910012]
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融合多层次特征的中文语义角色标注

参考文献/References:
[1] PRADHAN S, HACIOGLU K, KRUGLER V, et al. Support vector learning for semantic argument classification[J]. Machine Learning Journal, 2005, 60(1/2/3): 11–39.
[2] PRADHAN S, WARD W, HACIOGLU K, MARTIN J, et al. Semantic role labeling using different syntactic views[C]//Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics. Stroudsburg, USA, 2005: 581–588.
[3] BLUNSOM P. Maximum entropy markov models for semantic role labelling[C]//Proceedings of Australasian Language Technology Workshop 2004. Sydney, Australia, 2004: 109–116.
[4] COHN T, BLUNSOM P. Semantic role labelling with tree conditional random fields[C]//Proceedings of the 9th Conference on Computational Natural Language Learning. Ann Arbor, Michigan, 2005: 169–172.
[5] COLLOBERT R, WESTON J. A unified architecture for natural language processing: deep neural networks with multitask learning[C]//Proceedings of the 25th Inter- national Conference on Machine Learning. New York, USA, 2008: 160–167.
[6] SOCHER R, HUANG E H, PENNINGTON J, et al. Dynamic pooling and unfolding recursive autoencoders for paraphrase detection[C]//Proceedings of the Advances in Neural Information Processing Systems. Granada, Spain, 2011: 801–809.
[7] YIN W P, SCHüTZE H. Convolutional neural network for paraphrase identification[C]//Proceedings of 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Denver, USA, 2015: 901–911.
[8] ZHOU J, XU W. End-to-end learning of semantic role labeling using recurrent neural networks[C]//Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing. Beijing, China, 2015: 1127–1137.
[9] HOCHREITER S, SCHMIDHUBER J. Long short-term memory[J]. Neural computation, 1997, 9(8): 1735–1780.
[10] 于江德, 樊孝忠, 庞文博, 等. 基于条件随机场的语义角色标注[J]. 东南大学学报, 2007, 23(3): 361–364
YU Jiangde, FAN Xiaozhong, PANG Wenbo, et al. Semantic role labeling based on conditional random field[J]. Journal of southeast university, 2007, 23(3): 361–364
[11] WANG Zhen, JIANG Tingsong, CHANG Baobao, et al. Chinese semantic role labeling with bidirectional recurrent neural networks[C]//Proceedings of 2015 Conference on Empirical Methods in Natural Language Processing, 2015: 1626–1631.
[12] 王臻, 常宝宝, 穗志方. 基于分层输出神经网络的汉语语义角色标注[J]. 中文信息学报, 2014, 28(6): 56–61
WANG Zhen, CHANG Baobao, SUI Zhifang. Chinese semantic role labeling based on neural network with optimized output layer[J]. Journal of Chinese information processing, 2014, 28(6): 56–61
[13] 王明轩, 刘群. 基于深度神经网络的语义角色标注[J]. 中文信息学报, 2018, 32(2): 50–57
WANG Mingxuan, LIU Qun. A simple and effective deep model for semantic role labeling[J]. Journal of Chinese information processing, 2018, 32(2): 50–57
[14] 李天时, 李琦, 王文辉, 等. 基于外部记忆单元和语义角色知识的文本复述判别模型[J]. 中文信息学报, 2017, 31(6): 33–40
LI Tianshi, LI Qi, WANG Wenhui, et al. Paraphrase identification with external memory and SRL knowledge[J]. Journal of Chinese information processing, 2017, 31(6): 33–40
[15] 杨耀文. 基于神经网络模型的汉语框架语义角色识别[D]. 山西大学, 2016.
YANG Yaowen. Identification of Chinese FrameNet semantic role based on neural networds model[D]. Shanxi University, 2016.
[16] Sameer Pradhan, Kadri Hacioglu, Wayne Ward, et al. Semantic role chunking combining complementary syntactic views[C]//Proceedings of the Conference on Computational Natural Language Learning, 2005:217–220.
[17] 何保荣, 邱立坤, 孙盼盼. 基于句式与句模对应规则的语义角色标注[J]. 中文信息学报, 2018, 32(4): 59–65
HE Baorong, QIU Likun, SUN Panpan. Semantic role labeling based on correspondence rules between syntactic pattern and semantic pattern of sentences[J]. Journal of Chinese information processing, 2018, 32(4): 59–65
[18] 杨凤玲, 周俏丽, 蔡东风, 等. 结合短语结构句法的语义角色标注[J]. 中文信息学报, 2018, 32(6): 1–11
YANG Fengling, ZHOU Qiaoli, CAI Dongfeng, et al. Semantic role labeling combined with phrase structure prasing[J]. Journal of Chinese information processing, 2018, 32(6): 1–11
[19] 谢先章, 王兆凯, 李亚星, 等. 基于卷积神经网络的跨领域语义信息检索研究[J]. 计算机应用与软件, 2018, 35(08): 73–78
XIE Xianzhang, WANG Zhaokai, LI Yaxing, et al. Cross-domain semantic information retrieval based on convolutional neural network[J]. Computer applications and software, 2018, 35(08): 73–78
[20] 王策, 万福成, 于洪志, 等. 基于Bi-LSTM和Max Pooling的答案句抽取技术[J]. 吉林大学学报(信息科学版), 2019, 37(4): 390–398
WANG Ce, WAN Fucheng, YU Hongzhi, et al. Answer sentence extraction technology based on Bi-LSTM and Max Pooling[J]. Journal of jilin university(information science edition), 2019, 37(4): 390–398
[21] WANG Y C, WAN F C, MA N, et al. Research on chinese semantic role labeling with hierarchical syntactic clues[C]//Proceedings of the 3rd International Conference on Economics and Management, Education, Humanities and Social Sciences. Suzhou, China, 2019: 190–196.
[22] 万福成. 基于改进混沌分区算法的模糊信息抽取[J]. 计算机应用研究, 2019, 36(10): 2952–2954, 2970
WAN Fucheng. Fuzzy information extraction based on improved chaotic partition algorithm[J]. Application research of computers, 2019, 36(10): 2952–2954, 2970
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备注/Memo

收稿日期:2019-10-11。
基金项目:国家自然科学基金项目(61602387,61762076)
作者简介:王一成,硕士研究生,主要研究方向为自然语言处理、自动问答;万福成,副教授,主要研究方向为自然语言处理、机器翻译、信息抽取、自动问答。主持和参与国家级、省部级项目10余项。获得专利及软件著作权10余项。出版著作4部,发表学术论文20余篇;马宁,教授,主要研究方向为自然语言处理、计算机应用。主持及参与国家自然科学基金项目3项。出版学术著作1部,发表学术论文40余篇
通讯作者:万福成.E-mail:wanfucheng@126.com

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