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An Evaluation of Chinese Human-Computer Dialogue Technology

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Data Intelligence 2019年第2期1卷 187-200页

作者： Zhengyu Zhao Weinan Zhang wanxiang che Zhigang chen Yibo Zhang Research Center for Social Computing and Information Retrieval Harbin Institute of TechnologyHarbin 150001China AI Research Institute IFLYTEK Co.Ltd.Hefei 230088China Huawei Technologies Co. Ltd.Shenzhen 518129China

The human-computer dialogue has recently attracted extensive attention from both academia and industry as an important branch in the field of artificial intelligence(AI).However,there are few studies on the evaluation of large-scale Chinese human-computer dialogue *** this paper,we introduce the Second Evaluation of Chinese Human-Computer Dialogue Technology,which focuses on the identification of a user’s intents and intelligent processing of intent *** Evaluation consists of user intent classification(Task 1)and online testing of task-oriented dialogues(Task 2),the data sets of which are provided by iFLYTEK *** evaluation tasks and data sets are introduced in detail,and meanwhile,the evaluation results and the existing problems in the evaluation are discussed.

关键词： Chinese human-computer dialogue evaluation Evaluation data User intent classification Task-oriented dialogue

An Evaluation of Chinese Human-Computer Dialogue Technology

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Data Intelligence 2021年第2期3卷 274-286页

作者： Zixian Feng Caihai Zhu Weinan Zhang Zhigang chen wanxiang che Minlie Huang Linlin Li Research Center for Social Computing and Information Retrieval Harbin Institute of TechnologyHarbin 150001China AI Research Institute IFLYTEK CO.LTD.Hefei 230088China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China Consumer BG HUAWEI Technologies CO.LTD.Nanjing 210012China

There is a growing interest in developing human-computer dialogue systems which is an important branch in the field of artificial intelligence(AI).However,the evaluation of large-scale Chinese human-computer dialogues is still a challenging *** attract more attention to dialogue evaluation work,we held the fourth Evaluation of Chinese Human-Computer Dialogue Technology(ECDT).It consists of few-shot learning in spoken language understanding(SLU)(Task 1)and knowledge-driven multi-turn dialogue competition(Task 2),the data sets of which are provided by Harbin Institute of Technology and Tsinghua *** this paper,we will introduce the evaluation tasks and data sets in ***,we will also analyze the evaluation results and the existing problems in the evaluation.

关键词： Chinese human-computer dialogue evaluation Evaluation data Few-shot learning Knowledge-driven multi-turn dialogue

基于依存句法分析的社会媒体文本挖掘方法——以饮食习惯特色分析为例

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中文信息学报 2014年第6期28卷 208-215页

作者：任彬车万翔刘挺哈尔滨工业大学社会计算与信息检索研究中心黑龙江哈尔滨150001

在进行社会媒体文本挖掘时,传统的基于词表的方法,存在准确率较低、词表难获得等问题。该文提出一种基于依存句法分析的文本挖掘方法,通过规则匹配的方式从社会媒体文本中提取信息。该方法不依赖词表,且实验证明了相比基于词表的方法在... 详细信息

在进行社会媒体文本挖掘时,传统的基于词表的方法,存在准确率较低、词表难获得等问题。该文提出一种基于依存句法分析的文本挖掘方法,通过规则匹配的方式从社会媒体文本中提取信息。该方法不依赖词表,且实验证明了相比基于词表的方法在准确率上有大幅提高。应用基于依存句法分析的文本挖掘方法,我们在微博文本上进行了饮食习惯特色分析,实现了性别、地区、时间等维度的饮食习惯特色分析并可进行交叉分析,最终用词云的方式展示了结果。

关键词：依存句法分析文本挖掘社会媒体饮食习惯特色分析

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语言技术平台

中文信息学报 2011年第6期25卷 53-62页

作者：刘挺车万翔李正华哈尔滨工业大学社会计算与信息检索研究中心黑龙江哈尔滨150001

中文信息处理不仅需要基础数据平台的支撑,而且需要基础技术平台的支撑。该文介绍了我们历经八年研制并不断改进的语言技术平台LTP(Language Technology Platform)。该平台包括中文词法分析、句法分析以及语义分析等多项中文处理技术,... 详细信息

中文信息处理不仅需要基础数据平台的支撑,而且需要基础技术平台的支撑。该文介绍了我们历经八年研制并不断改进的语言技术平台LTP(Language Technology Platform)。该平台包括中文词法分析、句法分析以及语义分析等多项中文处理技术,其中的句法语义分析技术在CoNLL 2009国际评测中获得第一名的成绩。该平台自2006年起对学术界免费共享,2010年获得中国中文信息学会"钱伟长中文信息处理科学技术奖一等奖",目前已有400多家国内外研究机构签约共享该平台。2011年6月,该平台开放源代码,同行们不仅可以利用该平台的结果进行上层技术研究,而且可以和我们一起改进该平台本身。

关键词：中文信息处理语言技术平台

Cell replacement with stem cell-derived retinal ganglion cells from different protocols

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Neural Regeneration Research 2024年第4期19卷 807-810页

作者： Ziming Luo Kun-che Chang Spencer Center for Vision Research Byers Eye InstituteStanford University School of Medicine Department of Ophthalmology Louis J.Fox Center for Vision RestorationUniversity of Pittsburgh School of Medicine Department of Neurobiology Center of NeuroscienceUniversity of Pittsburgh School of Medicine

Glaucoma,characterized by a degenerative loss of retinal ganglion cells,is the second leading cause of blindness *** is currently no cure for vision loss in glaucoma because retinal ganglion cells do not regenerate and are not replaced after *** stem cell-derived retinal ganglion cell transplant is a potential therapeutic strategy for retinal ganglion cell degenerative *** this review,we first discuss a 2D protocol for retinal ganglion cell differentiation from human stem cell culture,including a rapid protocol that can generate retinal ganglion cells in less than two weeks and focus on their transplantation ***,we discuss using 3D retinal organoids for retinal ganglion cell transplantation,comparing cell suspensions and *** review provides insight into current knowledge on human stem cell-derived retinal ganglion cell differentiation and transplantation,with an impact on the field of regenerative medicine and especially retinal ganglion cell degenerative diseases such as glaucoma and other optic neuropathies.

关键词： cell clumps cell suspension cell transplantation differentiation direct-induced protocol glaucoma optic neuropathy regenerative medicine retinal ganglion cell retinal organoids stem cells

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基于SVMTool的中文词性标注

中文信息学报 2009年第4期23卷 16-21页

作者：王丽杰车万翔刘挺哈尔滨工业大学计算机学院信息检索研究室黑龙江哈尔滨150001

SVMTool是建立在支持向量机(SVM)原理上的序列标注工具,具有简单、灵活、高效的特点,可以融入大量的语言特征。该文将SVMTool应用于中文词性标注任务,将基于隐马尔科夫模型的基线系统准确率提升了2.07%。针对未登录词准确率不高的问题,... 详细信息

SVMTool是建立在支持向量机(SVM)原理上的序列标注工具,具有简单、灵活、高效的特点,可以融入大量的语言特征。该文将SVMTool应用于中文词性标注任务,将基于隐马尔科夫模型的基线系统准确率提升了2.07%。针对未登录词准确率不高的问题,该文加入了中文字、词的特征,包括构成汉字的部首特征和词重叠特征,并从理论上分析了这两个特征的可行性,实验显示加入这些特征后,未登录词标注的准确率提升了1.16%,平均错误率下降了7.40%。

关键词：计算机应用中文信息处理词性标注 SVMTool 未登录词偏旁部首

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基于主动学习的中文依存句法分析

中文信息学报 2012年第2期26卷 18-22页

作者：车万翔张梅山刘挺哈尔滨工业大学计算机学院社会计算与信息检索研究中心黑龙江哈尔滨150001

目前依存句法分析仍主要采用有指导的机器学习方法,即需要大规模高质量的树库作为训练语料,而现阶段中文依存树库资源相对较少,树库标注又是一件费时费力的工作。面对大量未标注语料,该文将主动学习应用到中文依存句法分析,优先选择句... 详细信息

目前依存句法分析仍主要采用有指导的机器学习方法,即需要大规模高质量的树库作为训练语料,而现阶段中文依存树库资源相对较少,树库标注又是一件费时费力的工作。面对大量未标注语料,该文将主动学习应用到中文依存句法分析,优先选择句法模型预测不准的实例交由人工标注。该文提出并比较了多种衡量依存句法模型预测可信度的准则。实验表明,一方面,与随机选择标注实例相比,当使用相同数目训练实例时,主动学习使中文依存分析性能最高提升0.8%;另一方面,主动学习使依存分析达到相同准确率时只需标注更少量实例,人工标注量最多可减少30%。

关键词：主动学习依存句法不确定性度量委员会投票

Numerical investigation of transient gas–solid heat transfer in a packed bed:Impact of intra-particle thermal diffusion

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Particuology 2024年第7期90卷 404-411页

作者： Hanqiao che Yuanhe Yue Zhaohua Jiang Duan Li School of Mechanical Engineering Guangxi UniversityNanningGuangxi530004China School of chemical Engineering University of BirminghamBirminghamB152TTUK Hebei Engineering Research Center of Advanced Energy Storage Technology and Equipment School of Energy and Environmental EngineeringHebei University of TechnologyTianjin300401China Hebei Key Laboratory of Thermal Science and Energy Clean Utilization School of Energy and Environmental EngineeringHebei University of TechnologyTianjin300401China School of Mechatronics and Vehicle Engineering Chongqing Jiaotong UniversityChongqing400074China School of Instrumentation and Opto-Electronic Engineering Beihang UniversityBeijing 100191China

The transient heat transfer behaviours in a packed bed have been studied using coupled computational fluid dynamics(CFD)and discrete element method(DEM).Intra-particle thermal diffusion,which is a crucial but rarely explored issue,is considered by introducing a one-dimensional diffusion equation in the DEM *** achieve a sufficiently long physical time of simulations,we further reduce the computational cost by applying periodic boundary condition to a small segment of the packed *** study demonstrates a shifting peak heat flow rate from the bottom to the top of the packed bed during the initial warming *** affirm that the influence of thermal diffusion within a particle is noteworthy only for particles exhibiting a high Biot number(e.g.,Bi=1.2).This insight enriches our understanding of heat transfer mechanisms in packed beds and their practical engineering applications.

关键词： Packed bed Intra-particle heat transfer CFD–DEM

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

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Frontiers in Energy 2024年第1期18卷 28-41页

作者： Xiao GUO Yanbo che Zhihao ZHENG Jiulong SUN Energy Power Electrical Automation and Information EngineeringTianjin UniversityTianjin 300072China

With the promotion of“dual carbon”strategy,data center(DC)access to high-penetration renewable energy sources(RESs)has become a trend in the ***,the uncertainty of RES poses challenges to the safe and stable operation of DCs and power *** this paper,a multi-timescale optimal scheduling model is established for interconnected data centers(IDCs)based on model predictive control(MPC),including day-ahead optimization,intraday rolling optimization,and intraday real-time *** day-ahead optimization stage aims at the lowest operating cost,the rolling optimization stage aims at the lowest intraday economic cost,and the real-time correction aims at the lowest power fluctuation,eliminating the impact of prediction errors through coordinated multi-timescale *** simulation results show that the economic loss is reduced by 19.6%,and the power fluctuation is decreased by 15.23%.

关键词： model predictive control interconnected data center multi-timescale optimized scheduling distributed power supply/landscape uncertainty