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Finding Nuggets in Patent Portfolios: Core Patent Mining and Its Applications

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Tsinghua Science and Technology 2013年第4期18卷 339-352页

作者： Po Hu minlie huang Xiaoyan Zhu the Department of Computer Science and Technology Tsinghua University

Patents are critically important for a company to protect its core business concepts and proprietary technologies. Effective patent mining in massive patent databases not only provides business enterprises with valuable insights to develop strategies for research and development, intellectual property management, and product marketing, but also helps patent offices to improve efficiency and optimize their patent examination processes. This paper describes the patent mining problem of automatically discovering core patents （i.e., novel and influential patents in a domain）. In addition, the value of core patent mining is illustrated by revealing the potential competitive relationships among companies in their core patents. The work addresses the unique patent vocabulary usage which is not considered in traditional word-based statistical methods with a topic-based temporal mining approach that quantifies a patent＇s novelty and influence through topic activeness variations. Tests of this method on real-world patent portfolios show the effectiveness of this approach over state-of-the-art methods.

关键词： text mining core patent patent novelty patent influence company competitor

Recent advances and challenges in task-oriented dialog systems

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Science China(Technological Sciences) 2020年第10期63卷 2011-2027页

作者： ZHANG Zheng TAKANOBU Ryuichi ZHU Qi huang minlie ZHU XiaoYan Department of Computer Science&.Technology Tsinghua UniversityBeijing 100084China Institute for Artificial Intelligence Tsinghua University(THUAI)Beijing 100084China Beijing National Research Center for Information Science&Technology Beijing 100084China

Due to the significance and value in human-computer interaction and natural language processing,task-oriented dialog systems are attracting more and more attention in both academic and industrial *** this paper,we survey recent advances and challenges in task-oriented dialog *** also discuss three critical topics for task-oriented dialog systems:(1)improving data efficiency to facilitate dialog modeling in low-resource settings,(2)modeling multi-turn dynamics for dialog policy learning to achieve better task-completion performance,and(3)integrating domain ontology knowledge into the dialog ***,we review the recent progresses in dialog evaluation and some widely-used *** believe that this survey,though incomplete,can shed a light on future research in task-oriented dialog systems.

关键词： task-oriented dialog systems natural language understanding dialog policy dialog state tracking natural language generation

Enhancing Offensive Language Detection with Data Augmentation and Knowledge Distillation

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Research 2024年第2期6卷 29-40页

作者： Jiawen Deng Zhuang Chen Hao Sun Zhexin Zhang Jincenzi Wu Satoshi Nakagawa Fuji Ren minlie huang The CoAl group DCSTInstitute for Artificial InteligenceState Key Lab of Intelligent Technology and SystemsBeijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijing 100084China Graduate School of Information Science&Technology The University of Tokyo.Tokyo 1138654Japan School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengduSichuan611731China

Offensive language detection has received important attention and plays a crucial role in promoting healthy communication on social platforms,as well as promoting the safe deployment of large language *** data is the basis for developing detectors;however,the available offense-related dataset in Chinese is severely limited in terms of data scale and coverage when compared to English *** significantly affects the accuracy of Chinese offensive language detectors in practical applications,especially when dealing with hard cases or out-of-domain *** alleviate the limitations posed by available datasets,we introduce AugCOLD(Augmented Chinese Offensive Language Dataset),a large-scale unsupervised dataset containing 1 million samples gathered by data crawling and model ***,we employ a multiteacher distillation framework to enhance detection performance with unsupervised *** is,we build multiple teachers with publicly accessible datasets and use them to assign soft labels to *** soft labels serve as a bridge for knowledge to be distilled from both AugCOLD and multiteacher to the student network,i.e.,the final offensive *** conduct experiments on multiple public test sets and our well-designed hard tests,demonstrating that our proposal can effectively improve the generalization and robustness of the offensive language detector.

关键词： COLD dealing limitations

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

EVA2.0:Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training

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Machine Intelligence Research 2023年第2期20卷 207-219页

作者： Yuxian Gu Jiaxin Wen Hao Sun Yi Song Pei Ke Chujie Zheng Zheng Zhang Jianzhu Yao Lei Liu Xiaoyan Zhu minlie huang The Conversational AI Group Tsinghua UniversityBeijing 100084China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China Department of Electrical Engineering and Computer Science York UniversityToronto M3J1P3Canada

Large-scale pre-training has shown remarkable performance in building open-domain dialogue ***,previous works mainly focus on showing and evaluating the conversational performance of the released dialogue model,ignoring the discussion of some key factors towards a powerful human-like chatbot,especially in Chinese *** this paper,we conduct extensive experiments to investigate these under-explored factors,including data quality control,model architecture designs,training approaches,and decoding *** propose EVA2.0,a large-scale pre-trained open-domain Chinese dialogue model with 2.8 billion parameters,and will make our models and codes publicly *** and human evaluations show that EVA2.0 significantly outperforms other open-source *** also discuss the limitations of this work by presenting some failure cases and pose some future research directions on large-scale Chinese open-domain dialogue systems.

关键词： Natural language processing deep learning(DL) large-scale pre-training dialogue systems Chinese open-domain conversational model

ChatGPT: potential, prospects, and limitations

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Frontiers of Information Technology & Electronic Engineering 2024年第1期25卷 6-11页

作者： Jie ZHOU Pei KE Xipeng QIU minlie huang Junping ZHANG School of Computer Science Fudan UniversityShanghai 200433China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China Shanghai Key Laboratory of Intelligent Information Processing Shanghai 200433China

Recently,OpenAI released Chat Generative Pre-trained Transformer(ChatGPT)(Schulman et al.,2022)(https://***),which has attracted considerable attention from the industry and academia because of its impressive *** is the first time that such a variety of open tasks can be well solved within one large language *** better understand ChatGPT,we briefly introduce its history,discuss its advantages and disadvantages,and point out several potential ***,we analyze its impact on the development of trustworthy artificial intelligence,conversational search engine,and artificial general intelligence.

关键词： artificial limitations intelligence

以ChatGPT为代表的大型语言模型研究进展

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中国科学基金 2023年第5期37卷 714-723页

作者：柯沛雷文强黄民烈清华大学计算机科学与技术系四川大学计算机学院

大型语言模型是当今人工智能领域最前沿的研究方向之一，该方向旨在训练含有大规模参数的通用语言模型，使其能够遵循人类指令完成不同类型的自然语言处理任务。作为大型语言模型的代表，由OpenAI研发的ChatGPT在各个领域均展现出强大... 详细信息

大型语言模型是当今人工智能领域最前沿的研究方向之一，该方向旨在训练含有大规模参数的通用语言模型，使其能够遵循人类指令完成不同类型的自然语言处理任务。作为大型语言模型的代表，由OpenAI研发的ChatGPT在各个领域均展现出强大的自然语言生成能力，受到了全球各行各业的关注。本文从语言模型的发展历程出发，介绍了近年研究者在扩大语言模型规模上的探索，然后分析了大型语言模型带来的范式改变，并以ChatGPT为典型实例概述了其发展、技术和应用，接着介绍了后ChatGPT时代大型语言模型的前沿进展，最后从评价和治理两方面总结了目前大型语言模型的局限性及未来需要解决的挑战。

关键词：大型语言模型 ChatGPT 预训练语言模型 Transformer 思维链自然语言处理人工智能

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一种半监督的中文垃圾微博过滤方法

中文信息学报 2016年第5期30卷 176-186页

作者：姚子瑜屠守中黄民烈朱小燕清华大学计算机科学与技术系北京100084

微博作为目前国内外最活跃的信息分享平台之一,其中却充斥着大量的垃圾内容。因此,如何从给定话题的微博数据中,过滤掉与话题不相关的垃圾微博、保留话题相关微博,成为迫切需要解决的问题。该文提出了一种半监督的中文微博过滤方法,基... 详细信息

微博作为目前国内外最活跃的信息分享平台之一,其中却充斥着大量的垃圾内容。因此,如何从给定话题的微博数据中,过滤掉与话题不相关的垃圾微博、保留话题相关微博,成为迫切需要解决的问题。该文提出了一种半监督的中文微博过滤方法,基于朴素贝叶斯分类模型和最大期望算法,实现了利用少量标注数据的垃圾微博过滤算法,其优势是仅仅利用少量标注数据就可以获得较为理想的过滤性能。分别对十个话题140 000余条新浪微博数据进行过滤,该文提出的模型准确度和F值优于朴素贝叶斯和支持向量机模型。

关键词：垃圾微博过滤半监督学习 EM算法朴素贝叶斯

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基于知识图谱的保险领域对话系统构建

电子技术应用 2019年第9期45卷 18-21,27页

作者：代文韬林诗璐朱小燕黄民烈清华大学计算机科学与技术系北京100084 华北电力大学控制与计算机工程学院北京102206

在当前人工智能技术发展的热潮中,对话系统已经越来越实用化。与一般的闲聊对话系统不同,特定领域的对话系统是基于知识,带有上下文推理的实用性对话系统。保险领域是典型的特定领域,介绍了一种保险相关领域对话系统的基本构建方法,可... 详细信息

在当前人工智能技术发展的热潮中,对话系统已经越来越实用化。与一般的闲聊对话系统不同,特定领域的对话系统是基于知识,带有上下文推理的实用性对话系统。保险领域是典型的特定领域,介绍了一种保险相关领域对话系统的基本构建方法,可以帮助用户快速、实用地在某特定领域和场景下构建对话系统,且具有一定的推广性和拓展性。

关键词：对话系统知识图谱语义解析