开启注册 | AAAI 2022论文北京预讲会,21场报告+24个Poster等你来

开启注册 | AAAI 2022论文北京预讲会,21场报告+24个Poster等你来_第1张图片

注册官网:https://event.baai.ac.cn/activities/228

国际人工智能会议AAAI 2022论文北京预讲会由中国中文信息学会青年工作委员会主办、智源社区和北京航空航天大学承办,将于1月8日在线上举办。本届论文预讲会的形式分为口头报告和海报展示两类。感谢以下媒体的支持:PaperWeekly、MLNLP(机器学习算法与自然语言处理)社区、大数据与脑机智能高精尖创新中心。

时间形式

  1. 会议时间:2020年1月8日(周六)09:00-17:00

  2. 会议形式:线上直播

  3. 注册参会:https://event.baai.ac.cn/activities/228(复制至浏览器,或击点左下角阅读原文)

活动日程

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Poster

  • 王长建:Exploring Relational Semantics for Inductive Knowledge Graph CompletionChangjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha中科院信工所

  • 蔡碧波:Mitigating reporting bias for semi-supervised temporal commonsense inference with probablistic soft logicBibo Cai, Xiao Ding, Bowen Chen,Ting Liu哈尔滨工业大学

  • 史正祥:StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in TextsZhengxiang Shi, Qiang Zhang, Aldo Lipani:伦敦大学学院

  • 张通:Frequency-Aware Contrastive Learning for Neural Machine TranslationTong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao北京大学知识计算实验室

  • 杜逸超:Regularizing End-to-End Speech Translation with Triangular Decomposition AgreementYichao Du, Zhirui Zhang, Weizhi Wang, Boxing Chen, Jun Xie, Tong Xu中国科学技术大学

  • 李韧:How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence ViewRen Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li中科院信工所,中国科学院大学网络空间安全学院,中国人民大学高瓴人工智能学院,大数据管理与分析方法北京市重点实验室,国家计算机网络应急技术协调中心,悉尼科技大学

  • 张梦玫:Robust Heterogeneous Graph Neural Networks against Adversarial AttacksMengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou北京邮电大学

  • 唐家龙:Procedural Text Understanding via Scene-wise EvolutionJialong Tang, Hongyu Lin, Meng Liao, Yaojie Lu, Xianpei Han, Le Sun, Weijian Xie, Jin Xu中科院软件研究所中文信息处理实验室,腾讯微信数据质量团队

  • 刘鑫:KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense GenerationXin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Weihua Luo, Haiying Zhang, Jinsong Su.厦门大学

  • 田济东:Weakly Supervised Neural Symbolic Learning for Cognitive TasksJidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin上海交通大学

  • 邬昌兴:A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation RecognitionChangxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su华东交通大学,厦门大学

  • 刘蕙心:Block Modeling-Guided Graph Convolutional Neural NetworksDongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng天津大学

  • 孙庆赟:Graph Structure Learning with Variational Information BottleneckQingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S Yu北京航空航天大学

  • 李世民:Contrast and Generation Make BART a Good Dialogue Emotion RecognizerShimin Li, Hang Yan, Xipeng Qiu复旦大学

  • 李霏:Unified Named Entity Recognition as Word-Word Relation ClassificationJingye Li, Donghong Ji, Jiang Liu, Hao Fei, Meishan Zhang, Shengqiong Wu, Chong Teng, Fei Li武汉大学

  • 徐啸:Text is no more Enough! A Benchmark for Profile-based Spoken Language UnderstandingXiao Xu, Libo Qin, Kaiji Chen, Wu Guoxing, Linlin Li, Wanxiang Che哈尔滨工业大学

  • 陈鹏鹏:Adversarial Learning from CrowdsPengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen北京航空航天大学

  • 王雲霞:Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknow TargetsYunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang山西大学

  • 陈俊帆:ContrastNet: A Contrastive Learning Framework for Few-shot Text ClassificationJunfan Chen, Richong Zhang, Yongyi Mao, Jie Xu北京航空航天大学

  • Sahand Sabour:CEM: Commonsense-aware Empathetic Response GenerationSahand Sabour, Chujie Zheng, Minlie Huang清华大学CoAI Lab

  • 张延钊:Unsupervised Sentence Representation via Contrastive Learning with Mixing NegativesYanzhao Zhang, Richong Zhang, Samuel Mensah , Xudong Liu, Yongyi Mao北京航空航天大学

  • 杨林易:NumHTML: Numeric-oriented Hierarchical Transformer for Multi-task Financial ForecastingLinyi Yang, Jiazheng Li, Ruihai Dong, Barry Smyth, Yue Zhang西湖大学

  • 干强:FORCE: A Framework of Rule-Based Conversational Recommender SystemJun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Huang Hu, Yingying He, Yongzhi Li, Yang Yang, Daxin Jiang微软

  • 李沁桐:Knowledge Bridging for Empathetic Dialogue GenerationQintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen山东大学,腾讯AI Lab

友情提醒

作为 AAAI 2022 的“前菜”,您将有机会通过本次活动认识来自国内自然语言处理领域的精英学子,除了结识更多志同道合的伙伴,还可以提前对本届AAAI的自然语言风向标有所感知,是一场难得的知识盛宴。

本次会议免费注册,欢迎大家参与的同时多多分享。

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