Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 91-96.
• Intelligent Computing • Previous Articles Next Articles
CHEN Wei1,WU You-zheng2,CHEN Wen-liang1,ZHANG Min1
CLC Number:
[1]刘知远.基于文档主题结构的关键词抽取方法研究[D].北京:清华大学,2011. [2]MARUJO L,WANG L,TRANCOSO I,et al.Automatic keyword extraction on twitter[C]∥Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Short Papers).USA:ACL,2015:637-643. [3]GOLLAPALLI S D,LI X L,YANG P.Incorporating Expert Knowledge into Keyphrase Extraction[C]∥Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17).California:AAAI,2017:3180-3187. [4]TURNEY P D.Learning Algorithms for Keyphrase Extraction[J].Information Retrieval,2000,2(4):303-336. [5]WU W,ZHANG B,OSTENDORF M.Automatic generation of personalized annotation tags for twitter users[C]∥Human Language Technologies:The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics(HLT’10).USA:ACL,2010:689-692. [6]ZHAO W X,JIANG J,HE J,et al.Topical keyphrase extraction from twitter[C]∥Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics:Human Language Technologies(HLT’11).USA:ACL,2011:379-388. [7]BELLAACHIA A,AL-DHELAAN M.Ne-rank:A novel graph-based keyphrase extraction in twitter[C]∥The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology(WI-IAT’12).Washington,DC:IEEE Computer Society,2012:372-379. [8]RILOFF E,LEHNERT W.Information extraction as a basis for high-precision text classification[J].ACM Transactions on Information Systems(TOIS),1994,12(3):296-333. [9]WITTEN I H,PAYNTER G W,FRANK E,et al.Kea:practical automatic keyphrase extraction[C]∥4th ACM Conference on Digital Libraries(DL’99).New York:ACM,1999:254-255. [10]MEDELYAN O,PERRONE V,WITTEN I H.Subject metadata support powered by maui[C]∥10th Annual Joint Conference on Digital Libraries(JCDL’10).New York:ACM,2010:407-408. [11]WANG C,LI S J.Corankbayes:Bayesian learning to rank under the co-training framework and its application in keyphrase extraction[C]∥20th ACM International Conference on Information and Knowledge Management(CIKM’11).New York:ACM,2011:2241-2244. [12]FRANK E,PAYNTER G W,WITTEN I H,et al.Domain-specific Keyphrase Extraction[C]∥Proceedings of IJCAI.California:AAAI,1999:668-673. [13]HULTH A.Improved Automatic Keyword Extraction Given More Linguistic Knowledge[C]∥Proceedings of EMNLP.USA:ACL,2003:216-223. [14]HULTH A,KARLGREN J,JONSSON A,et al.Automatic keyword extraction using domain knowledge[C]∥2nd International Conference on Computational Linguistics and Intelligent Text Processing.Mexico City:Springer-verlag,2001:472-482. [15]KIM S N,KAN M Y.Re-examining automatic keyphrase extraction approaches in scientific articles[C]∥Proceedings of the ACL-IJCNLP Workshop on Multiword Expressions.USA:ACL,2009:9-16. [16]LOPEZ P,ROMARY L.HUMB:Automatic key term extraction from scientific articles in GROBID[C]∥Proceedings of the 5th International Workshop on Semantic Evaluation.Sweden:ACM,2010:248-251. [17]JIANG X,HU Y H,LI H.A ranking approach to keyphrase extraction[C]∥32nd International ACM SIGIR Conference on Research and Development in Information Retrieval.New York:ACM,2009:756-757. [18]HUANG Z H,XU W,YU K.Bidirectional LSTM-CRF Models for Sequence Tagging(arXiv)(Version1.0)[OL].https://arxiv.org/abs/1508.01991. [19]BENGIO Y,DUCHARME R,VINCENT P,et al.A neural probabilistic language model[J].Journal of Machine Learning Research,2003,3(6):1137-1155. [20]COLLOBERT R,WESTON J,BOTTOU L,et al.Natural language processing (almost) from scratch[J].Journal of Machine Learning Research,2011,12(1):2493-2537. [21]MIKOLOV T,YIH W T,ZWEIG G.Linguistic regularities in continuous space word representations[C]∥NAACL-HLT.USA:ACL,2013:746-751. [22]LEVY O,GOLDBERG Y,DAGAN I.Improving distributional similarity with lessons learned from word embeddings[J].Transactions of the Association for Computational Linguistics,2015,75(3):211-225. [23]LAMPLE G,BALLESTEROS M,SUBRAMANIAN S,et al. Neural Architectures for Named Entity Recognition (arXiv)(Version3.0)[OL].https://arxiv.org/abs/1603.01360. [24]LAFFERTY F,MCCALLUM A,PEREIRA F.Conditional Random Fields:Probabilistic models for segmenting and labeling sequence data[C]∥Proceedings of ICML-2001.New York:ACM,2001:282-289. |
[1] | YAN Jia-dan, JIA Cai-yan. Text Classification Method Based on Information Fusion of Dual-graph Neural Network [J]. Computer Science, 2022, 49(8): 230-236. |
[2] | WANG Xin-tong, WANG Xuan, SUN Zhi-xin. Network Traffic Anomaly Detection Method Based on Multi-scale Memory Residual Network [J]. Computer Science, 2022, 49(8): 314-322. |
[3] | HOU Yu-tao, ABULIZI Abudukelimu, ABUDUKELIMU Halidanmu. Advances in Chinese Pre-training Models [J]. Computer Science, 2022, 49(7): 148-163. |
[4] | LI Xiao-wei, SHU Hui, GUANG Yan, ZHAI Yi, YANG Zi-ji. Survey of the Application of Natural Language Processing for Resume Analysis [J]. Computer Science, 2022, 49(6A): 66-73. |
[5] | WANG Shan, XU Chu-yi, SHI Chun-xiang, ZHANG Ying. Study on Cloud Classification Method of Satellite Cloud Images Based on CNN-LSTM [J]. Computer Science, 2022, 49(6A): 675-679. |
[6] | PAN Zhi-hao, ZENG Bi, LIAO Wen-xiong, WEI Peng-fei, WEN Song. Interactive Attention Graph Convolutional Networks for Aspect-based Sentiment Classification [J]. Computer Science, 2022, 49(3): 294-300. |
[7] | ZHANG Hu, BAI Ping. Graph Convolutional Networks with Long-distance Words Dependency in Sentences for Short Text Classification [J]. Computer Science, 2022, 49(2): 279-284. |
[8] | CHEN Zhi-yi, SUI Jie. DeepFM and Convolutional Neural Networks Ensembles for Multimodal Rumor Detection [J]. Computer Science, 2022, 49(1): 101-107. |
[9] | WANG Li-mei, ZHU Xu-guang, WANG De-jia, ZHANG Yong, XING Chun-xiao. Study on Judicial Data Classification Method Based on Natural Language Processing Technologies [J]. Computer Science, 2021, 48(8): 80-85. |
[10] | PENG Bin, LI Zheng, LIU Yong, WU Yong-hao. Automatic Code Comments Generation Method Based on Convolutional Neural Network [J]. Computer Science, 2021, 48(12): 117-124. |
[11] | WU Yu, LI Zhou-jun. Survey on Retrieval-based Chatbots [J]. Computer Science, 2021, 48(12): 278-285. |
[12] | ZHANG Ning, FANG Jing-wen, ZHAO Yu-xuan. Bitcoin Price Forecast Based on Mixed LSTM Model [J]. Computer Science, 2021, 48(11A): 39-45. |
[13] | ZHANG Yu-shuai, ZHAO Huan, LI Bo. Semantic Slot Filling Based on BERT and BiLSTM [J]. Computer Science, 2021, 48(1): 247-252. |
[14] | TONG Xin, WANG Bin-jun, WANG Run-zheng, PAN Xiao-qin. Survey on Adversarial Sample of Deep Learning Towards Natural Language Processing [J]. Computer Science, 2021, 48(1): 258-267. |
[15] | LU Long-long, CHEN Tong, PAN Min-xue, ZHANG Tian. CodeSearcher:Code Query Using Functional Descriptions in Natural Languages [J]. Computer Science, 2020, 47(9): 1-9. |
|