【论文】本周论文推荐（11.23-11.29）

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下面论文列表为本小组同学推荐和整理，关于论文细节请联系论文作者。内容涵盖以下研究方向：文本生成、知识库问答、对话系统、推荐系统、情感分析、风格迁移。

本周论文推荐

1

文本生成

• code2seq: Generating Sequences from Structured Representations of Code. Uri Alon, Shaked Brody, Omer Levy, Eran Yahav. ICLR 2019
• Hierarchical Generative Modeling for Controllable Speech Synthesis. Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang. ICLR 2019
• Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. Chien-Sheng Wu, Richard Socher, Caiming Xiong. ICLR 2019
• Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering. Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum. ICLR 2019
• Outline Generation: Understanding the Inherent Content Structure of Documents. Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan and Xueqi Cheng. SIGIR 2019

2

知识库问答

• Asking Clarification Questions in Knowledge-Based Question Answering. Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou and Xu SUN. EMNLP 2019
• Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie and Jun Zhao. EMNLP 2019
• KagNet: Learning to Answer Commonsense Questions with Knowledge-Aware Graph Networks. Bill Yuchen Lin, Xinyue Chen, Jamin Chen and Xiang Ren. EMNLP 2019
• Multi-task Learning for Conversational Question Answering Over a Large-Scale Knowledge Base. Tao Shen, Xiubo Geng, Tao QIN, Daya Guo, Duyu Tang, Nan Duan, Guodong Long and Daxin Jiang. EMNLP 2019

3

对话系统

• EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation. Jiayi Zhang, Chongyang Tao, Zhenjing Xu, Qiaojing Xie, Wei Chen, Rui Yan. SIGIR 2019
• History Modeling for Conversational Question Answering. Chen Qu, Liu Yang, Minghui Qiu, Bruce Croft, Yongfeng Zhang and Mohit Iyyer. SIGIR 2019

4

推荐系统

• Adversarial Training for Review-Based Recommendations. Dimitrios Rafailidis, Fabio Crestani. SIGIR 2019

4

情感分析

• Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang and Qiang Yang. EMNLP 2019
• Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis. Hao-Ming Fu and Pu-Jen Cheng. SIGIR 2019
• Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network. Chen Zhang, Qiuchi Li and Dawei Song. SIGIR 2019

5

风格迁移

• Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training. Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu and Shou-De Lin. EMNLP 2019
• Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation. Ke Wang, Hang Hua, Xiaojun Wan. Arxiv 2019
• Unsupervised Text Style Transfer using Language Models as Discriminators. Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick. NIPS 2018
• Zero-Shot Fine-Grained Style Transfer: Leveraging Distributed Continuous Style Representations to Transfer To Unseen Styles. Eric Michael Smith, Diana Gonzalez-Rico, Emily Dinan, Y-Lan Boureau. Arxiv 2019

本期编辑：胡晓璇