Computer Science ›› 2019, Vol. 46 ›› Issue (8): 244-248.doi: 10.11896/j.issn.1002-137X.2019.08.040
• Artificial Intelligence • Previous Articles Next Articles
ZHANG Yi-jie, LI Pei-feng, ZHU Qiao-ming
CLC Number:
[1] | LIN J,YUAN C F.Extraction and Computation of Chinese Temporal Relation[J].Journal of Chinese Information Processing,2009,23(5):62-67.(in Chinese) 林静,苑春法.汉语时间关系抽取与计算[J].中文信息学报,2009,23(5):62-67. |
[2] | ZHONG Z M,LIU Z T,ZHOU W,et al.The Model of Event Relation Representation[J].Journal of Chinese Information Processing,2009,23(6):56-60.(in Chinese) 仲兆满,刘宗田,周文,等.事件关系表示模型[J].中文信息学报,2009,23(6):56-60. |
[3] | WANG F E,TAN H Y,QIAN Y L.Recognition of Temporal Relation in One Sentence Based on Maximum Entropy[J].Computer Engineering,2012,38(4):37-39.(in Chinese) 王风娥,谭红叶,钱揖丽.基于最大熵的句内时间关系识别[J].计算机工程,2012,38(4):37-39. |
[4] | MARCU D,ECHIHABI A.Anunsupervised approach to recognizing discourse relations[C]∥Proceedings of the Association for Computational Linguistics.Association for Computational Linguistics,2002:368-375. |
[5] | MANI I,VERHAGEN M,WELLNER B,et al.Machine lear- ning of temporal relations[C]∥Proceedings of the Association for Computational Linguistics.Association for Computational Linguistics,2006:753-760. |
[6] | CHAMBERS N,WANG S,JURAFSKY D.Classifying temporal relations between events[C]∥Proceeding of the ACL on Inte-ractive Poster and Demonstration Sessions.Association for Computational Linguistics,2007:173-176. |
[7] | LI P F,ZHU Q M,ZHOU G D,et al.Global Inference to Chinese Temporal Relation Extraction[C]∥Proceedings of the International Conference on Computational Linguistics.2016:1451-1460. |
[8] | CHENG F,MIYAO Y.Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths[C]∥Proceedings of the Association for Computational Linguistics(Short Papers).Association for Computational Linguistics.2017:1-6. |
[9] | MENG Y,RUMSHISKY A,ROMANOV A.Temporal Infor- mation Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture[C]∥Proceedings of the Conference on Empirical Methods in Natural Language Processing.Association for Computational Linguistics,2017:887-896. |
[10] | CHOUBEY P K,HUANG R H.A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events[C]∥Proceedings of the Conference on Empirical Methods in Natural Language Processing.Association for Computational Linguistics.2017:1796-1802. |
[11] | TOURILLE J,FERRET O,TANNIER X,et al.Neural Architecture for Temporal Relation Extraction:A Bi-LSTM Approach for Detecting Narrative Containers[C]∥Proceedings of the Association for Computational Linguistics.Association for Computational Linguistics,2017:224-230. |
[12] | VASWANI A,SHAZEER N,PARMAR N,et al.Attentionis all you need[J].arXiv:1706.03762. |
[13] | CHENG J P,DONG L,LAPATA M.Long Short-Term Memory-Networks for Machine Reading[J].arXiv:1601.06733. |
[14] | LIN Z H,FENG M W,SANTOS C N,et al.A Structured Self-attentive Sentence Embedding[J].arXiv:1703.03130. |
[15] | PAULUS R,XIONG C M,SOCHER R.A Deep Reinforced Model for Abstractive Summarization[J].arXiv:1705.04304. |
[16] | SHEN T,ZHOU T Y,LONG G D,et al.DiSAN:Directional Self-Attention Network for RNN/CNN-free Language Understanding[J].arXiv :1709.04696. |
[17] | DEY R,SALEMT F M.Gate-variants of Gated Recurrent Unit (GRU)neural networks[J].arXiv:1701.05923. |
[18] | DAUPHIN Y N,FAN A,AULI M,et al.Language Modeling with Gated Convolutional Networks[J].arXiv:1612.08083. |
[19] | MIRZA P,TONELLI S.On the contribution of word embeddings to temporal relationclassification[C]∥Proceedings of the International Conference on Computational Linguistics.2016:2818-2828. |
[1] | WANG Rui-ping, JIA Zhen, LIU Chang, CHEN Ze-wei, LI Tian-rui. Deep Interest Factorization Machine Network Based on DeepFM [J]. Computer Science, 2021, 48(1): 226-232. |
[2] | YU Wen-jia, DING Shi-fei. Conditional Generative Adversarial Network Based on Self-attention Mechanism [J]. Computer Science, 2021, 48(1): 241-246. |
[3] | 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. |
[4] | DING Yu, WEI Hao, PAN Zhi-song, LIU Xin. Survey of Network Representation Learning [J]. Computer Science, 2020, 47(9): 52-59. |
[5] | HE Xin, XU Juan, JIN Ying-ying. Action-related Network:Towards Modeling Complete Changeable Action [J]. Computer Science, 2020, 47(9): 123-128. |
[6] | YE Ya-nan, CHI Jing, YU Zhi-ping, ZHAN Yu-liand ZHANG Cai-ming. Expression Animation Synthesis Based on Improved CycleGan Model and Region Segmentation [J]. Computer Science, 2020, 47(9): 142-149. |
[7] | DENG Liang, XU Geng-lin, LI Meng-jie, CHEN Zhang-jin. Fast Face Recognition Based on Deep Learning and Multiple Hash Similarity Weighting [J]. Computer Science, 2020, 47(9): 163-168. |
[8] | BAO Yu-xuan, LU Tian-liang, DU Yan-hui. Overview of Deepfake Video Detection Technology [J]. Computer Science, 2020, 47(9): 283-292. |
[9] | YUAN Ye, HE Xiao-ge, ZHU Ding-kun, WANG Fu-lee, XIE Hao-ran, WANG Jun, WEI Ming-qiang, GUO Yan-wen. Survey of Visual Image Saliency Detection [J]. Computer Science, 2020, 47(7): 84-91. |
[10] | WANG Wen-dao, WANG Run-ze, WEI Xin-lei, QI Yun-liang, MA Yi-de. Automatic Recognition of ECG Based on Stacked Bidirectional LSTM [J]. Computer Science, 2020, 47(7): 118-124. |
[11] | LIU Yan, WEN Jing. Complex Scene Text Detection Based on Attention Mechanism [J]. Computer Science, 2020, 47(7): 135-140. |
[12] | ZHANG Zhi-yang, ZHANG Feng-li, TAN Qi, WANG Rui-jin. Review of Information Cascade Prediction Methods Based on Deep Learning [J]. Computer Science, 2020, 47(7): 141-153. |
[13] | JIANG Wen-bin, FU Zhi, PENG Jing, ZHU Jian. 4Bit-based Gradient Compression Method for Distributed Deep Learning System [J]. Computer Science, 2020, 47(7): 220-226. |
[14] | CHEN Jin-yin, ZHANG Dun-Jie, LIN Xiang, XU Xiao-dong and ZHU Zi-ling. False Message Propagation Suppression Based on Influence Maximization [J]. Computer Science, 2020, 47(6A): 17-23. |
[15] | CHENG Zhe, BAI Qian, ZHANG Hao, WANG Shi-pu and LIANG Yu. Improving Hi-C Data Resolution with Deep Convolutional Neural Networks [J]. Computer Science, 2020, 47(6A): 70-74. |
|