Computer Science ›› 2019, Vol. 46 ›› Issue (6): 206-211.doi: 10.11896/j.issn.1002-137X.2019.06.031
Previous Articles Next Articles
ZHENG Cheng, HONG Tong-tong, XUE Man-yi
CLC Number:
[1]HINTON G E.Learning distributed representations of concepts[C]∥Proceedings of the Eighth Annual Conference of the Cognitive Science Society.1986:1-12. [2]CAI H P.Research on short text classification based on convolutional neural network[D].Chongqing:Southwest University,2016.(in Chinese) 蔡慧苹.基于卷积神经网络的短文本分类方法研究[D].重庆:西南大学,2016. [3]WANG F,WANG Z,LI Z,et al.Concept-based short text classification and ranking[C]∥Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management.ACM,2014:1069-1078. [4]NING Y H,FAN X H,WU Y.Short text classification based on domain word ontology[J].Computer Science,2009,36(3):142-145.(in Chinese) 宁亚辉,樊兴华,吴渝.基于领域词语本体的短文本分类[J].计算机科学,2009,36(3):142-145. [5]RAO G Q,YU D,XUN E D.Unsupervised text feature extraction based on natural annotation information and implicit topic model[J].Journal of Chinese Information Processing,2015,29(6):141-149.(in Chinese) 饶高琦,于东,荀恩东.基于自然标注信息和隐含主题模型的无监督文本特征抽取[J].中文信息学报,2015,29(6):141-149. [6]SRIRAM B,FUHRY D,DEMIR E,et al.Short text classification in Twitter to improve information filtering[C]∥Procee-dings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval.New York:ACM,2010:841-842. [7]GODIN F,SLAVKOVIKJ V,DE N W,et al.Using topic models for Twitter hashtag recommendation[C]∥Proceedings of the 22nd International Conference on World Wide Web.New York:ACM,2013:593-596. [8]MEHROTRA R,SANNER S,BUNTINE W,et al.Improving LDA topic models for Microblogs via Tweet pooling and automatic labeling[C]∥Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval.New York:ACM,2013:889-892. [9]KALCHBRENNER N,GREFENSTETTE E,BLUNSOM P A.Convolutional neural network for modelling sentences[J].ar-Xiv:1404.2188,2014. [10]LEI T,BARZILAY R,JAAKKOLA T.Molding CNNs for text:non-linear,non-consecutive convolutions[J].Indiana University Mathematics Journal,2015,58(3):1151-1186. [11]WANG P.Semantic clustering and convolutional neural network for short text categorization[C]∥Proceeding of Meeting of the Association for Computional Linguistics.ACL,2015:352-357. [12]JOULIN A,GRAVE E,BOJANOWSKI P,et al.Bag of tricks for efficient text classification[C]∥Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics.ACL,2017:427-431. [13]AREVIAN G.Recurrent neural networks for robust real-world text classification[C]∥IEEE/WIC/ACM International Confe-rence on Web Intelligence.Washington,DC:IEEE,2007:326-329. [14]TANG D Y,QIN B,LIU T.Document modeling with gated recurrent neural network for sentiment classification[C]∥Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing.EMNL,2015:1422-1432. [15]ZHOU C H,SUN C,LIU Z,et al.A C-LSTM neural network for text classification[J].Computer Science,2015,1(4):39-44. [16]LAI S W,XU L H,LIU K,et al.Recurrent convolutional neural networks for text classification[C]∥Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence.AAAI,2016:2268-2273. |
[1] | JIANG Sheng-teng, ZHANG Yi-chi, LUO Peng, LIU Yue-ling, CAO Kuo, ZHAO Hai-tao, WEI Ji-bo. Analysis of Performance Metrics of Semantic Communication Systems [J]. Computer Science, 2022, 49(7): 236-241. |
[2] | LIU Shuo, WANG Geng-run, PENG Jian-hua, LI Ke. Chinese Short Text Classification Algorithm Based on Hybrid Features of Characters and Words [J]. Computer Science, 2022, 49(4): 282-287. |
[3] | YANG Jin-cai, CAO Yuan, HU Quan, SHEN Xian-jun. Relation Classification of Chinese Causal Compound Sentences Based on Transformer Model and Relational Word Feature [J]. Computer Science, 2021, 48(6A): 295-298. |
[4] | YANG Qing, ZHANG Ya-wen, ZHU Li, WU Tao. Text Sentiment Analysis Based on Fusion of Attention Mechanism and BiGRU [J]. Computer Science, 2021, 48(11): 307-311. |
[5] | JING Li, LI Man-man, HE Ting-ting. Sentiment Classification of Network Reviews Combining Extended Dictionary and Self-supervised Learning [J]. Computer Science, 2020, 47(11A): 78-82. |
[6] | LI Zhou-jun,WANG Chang-bao. Survey on Deep-learning-based Machine Reading Comprehension [J]. Computer Science, 2019, 46(7): 7-12. |
[7] | WANG Le-le,WANG Bin-qiang,LIU Jian-gang,ZHANG Jian-hui,MIAO Qi-guang. Study on Malicious Program Detection Based on Recurrent Neural Network [J]. Computer Science, 2019, 46(7): 86-90. |
[8] | SHAN Yi-dong, WANG Heng-jun, HUANG He, YAN Qian. Study on Named Entity Recognition Model Based on Attention Mechanism——Taking Military Text as Example [J]. Computer Science, 2019, 46(6A): 111-114. |
[9] | ZHANG Ming-yue, WANG Jing. Interactive Likelihood Target Tracking Algorithm Based on Deep Learning [J]. Computer Science, 2019, 46(2): 279-285. |
[10] | WU Chen, YUAN Yu-wei, WANG Hong-wei, LIU Yu, LIU Si-tong, QUAN Ji-cheng. Word Vectors Fusion Based Remote Sensing Scenes Zero-shot Classification Algorithm [J]. Computer Science, 2019, 46(12): 286-291. |
[11] | ZHENG Cheng, XUE Man-yi, HONG Tong-tong, SONG Fei-bao. DC-BiGRU_CNN Model for Short-text Classification [J]. Computer Science, 2019, 46(11): 186-192. |
[12] | SHI Kai-jing, BAO Hong. Forward Vehicle Detection Research Based on Improved FAST R-CNN Network [J]. Computer Science, 2018, 45(6A): 179-182. |
|