Natural Language Processing and Chinese Computing: 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part I

ive Summarization via Discourse Relation and Graph Convolutional Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 Wenjie Wei, Hongling Wang, and Zhongqing Wang Chinese Question Classification Based on ERNIE and Feature Fusion . . . . . . 343 Gaojun Liu, Qiuxia Yuan, Jianyong Duan, Jie Kou, and Hao Wang An Abstractive Summarization Method Based on Global Gated Dual Encoder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355 Lu Peng, Qun Liu, Lebin Lv, Weibin Deng, and Chongyu Wang Rumor Detection on Hierarchical Attention Network with User and Sentiment Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366 Sujun Dong, Zhong Qian, Peifeng Li, Xiaoxu Zhu, and Qiaoming Zhu Measuring the Semantic Stability of Word Embedding. . . . . . . . . . . . . . . . . 378 Zhenhao Huang and Chenxu Wang Task-to-Task Transfer Learning with Parameter-Efficient Adapter . . . . . . . . . 391 Haiou Zhang, Hanjun Zhao, Chunhua Liu, and Dong Yu Key-Elements Graph Constructed with Evidence Sentence Extraction for Gaokao Chinese. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403 Xiaoyue Wang, Yu Ji, and Ru Li

[1]  Erik F. Tjong Kim Sang,et al.  Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition , 2003, CoNLL.

[2]  Gonzalo A. Ruz,et al.  Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers , 2020, Future Gener. Comput. Syst..

[3]  Kang Liu,et al.  Book Review: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions by Bing Liu , 2015, CL.

[4]  Md. Mokhlesur Rahman,et al.  COVID-19 Public Sentiment Insights and MachineLearning for Tweets Classification , 2020, medRxiv.

[5]  Xiaojun Wan,et al.  Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis , 2008, EMNLP.

[6]  Mirella Lapata,et al.  Learning to Generate Product Reviews from Attributes , 2017, EACL.

[7]  Dinesh Kumar Vishwakarma,et al.  Sentiment analysis using deep learning architectures: a review , 2019, Artificial Intelligence Review.

[8]  Sabine Buchholz,et al.  Introduction to the CoNLL-2000 Shared Task Chunking , 2000, CoNLL/LLL.

[9]  Matthew R. Walter,et al.  What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment , 2015, NAACL.

[10]  Heng Ji,et al.  Joint Entity and Event Extraction with Generative Adversarial Imitation Learning , 2019, Data Intelligence.

[11]  Wang Gan.  Study of Sentiment Analysis of Product Reviews in Internet Based on RS-SVM , 2013 .

[12]  Jason Weston,et al.  Personalizing Dialogue Agents: I have a dog, do you have pets too? , 2018, ACL.

[13]  Xing Fang,et al.  Toward multi-label sentiment analysis: a transfer learning based approach , 2020, Journal of Big Data.

[14]  Gholamreza Haffari,et al.  The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis , 2013, ACL.

[15]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[16]  Nitish Srivastava,et al.  Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..

[17]  Max Welling,et al.  Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.

[18]  George R. Doddington,et al.  Automatic Evaluation of Machine Translation Quality Using N-gram Co-Occurrence Statistics , 2002 .

[19]  Tetsuya Sakai,et al.  Attitude Detection for One-Round Conversation: Jointly Extracting Target-Polarity Pairs , 2019, WSDM.

[20]  Steffen Rendle,et al.  Factorization Machines with libFM , 2012, TIST.

[21]  Diego Marcheggiani,et al.  Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling , 2017, EMNLP.

[22]  Huosong Xia,et al.  Sentiment analysis for online reviews using conditional random fields and support vector machines , 2020, Electron. Commer. Res..

[23]  Jianfeng Gao,et al.  A Diversity-Promoting Objective Function for Neural Conversation Models , 2015, NAACL.

[24]  Wei-Ying Ma,et al.  Topic Aware Neural Response Generation , 2016, AAAI.

[25]  Jun Xu,et al.  Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation , 2018, IJCAI.

[26]  Jianfeng Gao,et al.  A Persona-Based Neural Conversation Model , 2016, ACL.

[27]  Yang Zhao,et al.  A Conditional Variational Framework for Dialog Generation , 2017, ACL.

[28]  Pierre Vandergheynst,et al.  Wavelets on Graphs via Spectral Graph Theory , 2009, ArXiv.

[29]  Nan Jiang,et al.  An improved algorithm for sentiment analysis based on maximum entropy , 2017, Soft Computing.

[30]  Xueqi Cheng,et al.  Learning to Control the Specificity in Neural Response Generation , 2018, ACL.

[31]  Lukasz Kaiser,et al.  Attention is All you Need , 2017, NIPS.

[32]  Jason Weston,et al.  Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.

[33]  Kim-Kwang Raymond Choo,et al.  A model for sentiment and emotion analysis of unstructured social media text , 2018, Electron. Commer. Res..

[34]  Dilip Singh Sisodia,et al.  A Comparative Performance Study of Machine Learning Algorithms for Sentiment Analysis of Movie Viewers Using Open Reviews , 2020 .

[35]  Jacob Cohen,et al.  The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability , 1973 .

[36]  Jianying Hu,et al.  Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects , 2015, Scientific Reports.

[37]  Erik F. Tjong Kim Sang,et al.  Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition , 2002, CoNLL.