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A language-independent neural network for event detection

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Science China(Information Sciences) 2018年第9期61卷 81-92页

作者： Xiaocheng FENG bing qin Ting LIU Computer Science and Technology Harbin Institute of Technology

Event detection remains a challenge because of the difficulty of encoding the word semantics in various contexts. Previous approaches have heavily depended on language-specific knowledge and preexisting natural language processing tools. However, not all languages have such resources and tools available compared with English language. A more promising approach is to automatically learn effective features from data, without relying on language-specific resources. In this study, we develop a language-independent neural network to capture both sequence and chunk information from specific contexts and use them to train an event detector for multiple languages without any manually encoded features. Experiments show that our approach can achieve robust, efficient and accurate results for various languages. In the ACE 2005 English event detection task, our approach achieved a 73.4% F-score with an average of 3.0% absolute improvement compared with state-of-the-art. Additionally, our experimental results are competitive for Chinese and Spanish.

关键词： nature language processing event detection neural networks representation learning

Encoding syntactic representations with a neural network for sentiment collocation extraction

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Science China(Information Sciences) 2017年第11期60卷 7-18页

作者： Yanyan ZHAO bing qin Ting LIU Department of Media Technology and Art Harbin Institute of Technology Department of Computer Science and Technology Harbin Institute of Technology

Sentiment collocation refers to the collocation of a target word and a polarity word. Sentiment collocation extraction aims to extract the targets and their modifying polarity words by analyzing the relationships between them. This can be regarded as a basic sentiment analysis task and is relevant in many practical applications. Previous studies relied mainly on the syntactic path, which is used to connect the target word and the polarity word. To deeply exploit the semantic information of the syntactic path, we propose two types of syntactic representation, namely, relation embedding and subtree embedding, to capture the latent semantic features. Relation embedding is used to represent the latent semantics between targets and their corresponding polarity words, and subtree embedding is used to explore the rich syntactic information for each word on the path. To combine the two types of syntactic representations, a neural network is constructed. We use a recursive neural network(RNN) to model the subtree embeddings, and then the subtree embedding and the word embedding are combined as the enhanced word representation for each word in the syntactic path. Finally,a convolutional neural network(CNN) is adopted to integrate the two types of syntactic representations to extract the sentiment collocations from reviews. Our experiments were conducted on six types of reviews, which included product domains(such as cameras and phones) and service domains(such as hotels and restaurants).The experimental results show that our proposed method can accurately capture the latent semantic features hidden behind the syntactic paths that neither the common feature-based methods nor the syntactic-path-based method can handle, and, further, that it significantly outperforms numerous baselines and previous methods.

关键词： sentiment collocation extraction sentiment analysis syntactic representation neural network re cursive neural network(RNN) convolutional neural network(CNN)

A survey of discourse parsing

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Frontiers of Computer Science 2022年第5期16卷 85-96页

作者： Jiaqi LI Ming LIU bing qin Ting LIU School of Computer Science and Technology Harbin Institute of TechnologyHarbin 150001China Peng Cheng Laboratory Shenzhen 518052China

Discourse parsing is an important research area in natural language processing(NLP),which aims to parse the discourse structure of coherent *** this survey,we introduce several different kinds of discourse parsing tasks,mainly including RST-style discourse parsing,PDTB-style discourse parsing,and discourse parsing for multiparty *** these tasks,we introduce the classical and recent existing methods,especially neural network *** that,we describe the applications of discourse parsing for other NLP tasks,such as machine reading comprehension and sentiment ***,we discuss the future trends of the task.

关键词： discourse parsing discourse structure RST PDTB STAC

Night-time radiative warming using the atmosphere

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Light(Science & Applications) 2023年第12期12卷 2589-2596页

作者： Yining Zhu Yiwei Zhou bing qin Rui qin Min Qiu Qiang Li State Key Laboratory of Modern Optical Instrumentation College of Optical Science and EngineeringZhejiang UniversityHangzhou 310027China Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province School of EngineeringWestlake UniversityHangzhou 310024China Institute of Advanced Technology Westlake Institute for Advanced StudyHangzhou 310024China

Night-time warming is vital for human production and daily *** methods like active heaters are energy-intensive,while passive insulating films possess restrictions regarding space consumption and the lack of heat *** this work,a nanophotonic-based night-time warming strategy that passively inhibits thermal radiation of objects while actively harnessing that of atmosphere is *** using a photonic-engineered thin film that exhibits high reflectivity(~0.91)in the atmospheric transparent band(8-14μm)and high absorptivity(~0.7)in the atmospheric radiative band(5-8 and 14-16μm),temperature rise of 2.1℃/4.4℃compared to typical low-e film and broadband absorber is ***,net heat loss as low as 9Wm-2 is experimentally observed,compared to 16 and 39Wm-2 for low-e film and broadband absorber,*** strategy suggests an innovative way for sustainable warming,thus contributes to addressing the challenges of climate change and promoting global carbon neutrality.

关键词： passive radiative absorber

Novel Highly Selective Fluorescent Chemosensors for Hg（Ⅱ）

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Chemical Research in Chinese Universities 2013年第4期29卷 657-662页

作者： SU Wen-qi YANG bing-qin Key Laboratory of Synthetic and Natural Functional Molecule Chemistry Ministry of Education Department of Chemistry Northwest University Xi'an 710069 P. R. China

Based on Rhodamine,two novel fluorescent Hg2＋ chemosensors（R1,R2） were synthesized from inexpensive starting *** were designed and synthesized with o-aminophenol and o-phenylenediamine derivatives as the Hg2＋ chelator,the comparison between the photophysical properties of two chemosensor molecules was *** chemosensors were designed with a photoinduced electron transfer（PET） *** binding to Hg2＋ which blocks the PET process,the fluorescence intensity of the chemosensors was enhanced by up to *** exhibit very strong fluorescence responses to Hg2＋ and have remarkably higher selectivity for Hg2＋ than for other metal ions including K＋,Na＋,Ca2＋,Mg2＋,Cd2＋,Mn2＋,Ni2＋,Co2＋,Zn2＋,Cu2＋,Cr3＋,Fe3＋,pb2＋,Ag＋,Al3＋,Fe2＋ and Sn2＋ in Tris-HC1/sodium phosphate *** fluorescence enhancement of R2 towards Hg2＋ maintains stable in wide pH span（6.4-8.8） aqueous solutions.

关键词： Fluorescent chemosensor Mercury ion Sensor Rhodamine fluorophore Fluorescence intensity

Topic hierarchy construction from heterogeneous evidence

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Frontiers of Computer Science 2016年第1期10卷 136-146页

作者： Han XUE bing qin Ting LIU Shen LIU School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China Harbin Engineering University Library Harbin Engineering University Harbin 150001 China

Existing studies on hierarchy construction mainly focus on text corpora and indiscriminately mix numerous top- ics, thus increasing the possibility of knowledge acquisition bottlenecks and misconceptions. To address these problems and provide a comprehensive and in-depth representation of domain specific topics, we propose a novel topic hierar- chy construction method with real-time update. This method combines heterogeneous evidence from multiple sources in- cluding folksonomy and encyclopedia, separately in both ini- tial topic hierarchy construction and topic hierarchy improve- ment. Results of comprehensive experiments indicate that the proposed method significantly outperforms state-of-the- art methods （t-test, p-value 〈 0.000 1）; recall has particularly improved by 20.4% to 38.7%.

关键词： hierarchy construction Chinese topic hierarchy,folksonomy heterogeneous evidence hierarchy update

Truth Discovery with Memory Network

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Tsinghua Science and Technology 2017年第6期22卷 609-618页

作者： Luyang Li bing qin Wenjing Ren Ting Liu Research Center for Social Computing and Information Retrieval Harbin Institute of Technology Harbin 150001 China

Truth discovery aims to resolve conflicts among multiple sources and find the truth. Conventional methods for truth discovery mainly investigate the mutual effect between the reliability of sources and the credibility of statements. These methods use real numbers, which have a lower representation capability than vectors to represent the reliability. In addition, neural networks have not been used for truth discovery. In this work, we propose memory-network-based models to address truth discovery. Our proposed models use feedforward and feedback memory networks to learn the representation of the credibility of statements. Specifically, our models adopt a memory mechanism to learn the reliability of sources for truth prediction. The proposed models use categorical and continuous data during model learning by automatically assigning different weights to the loss function on the basis of their own effects. Experimental results show that our proposed models outperform state-of-the-art methods for truth discovery.

关键词： truth discovery memory networks source reliability

Study on Viscosity Reducing and Oil Displacement Agent for Water-Flooding Heavy Oil Reservoir

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China Petroleum Processing & Petrochemical Technology 2022年第1期24卷 11-18页

作者： qin bing Zhao Lin Jiang Jianlin Research Institute of Petroleum Processing SINOPECBeijing 100083

In the process of water-flooding development of heavy oil reservoir,due to the high viscosity and oil-water mobility ratio of heavy oil,there are some problems such as poor fluidity,high residual oil saturation and low recovery efficiency,which seriously restrict the efficient development of heavy *** molecular structure characteristics of asphaltenes and resins in heavy oil were *** on the three most concerned properties of chemical agents,including the emulsification performance,the interface performance and the oil washing performance,three chemical oil displacement agents for heavy oil reservoirs were developed,and the structure of the chemical agents were characterized by high resolution mass *** performance evaluation of chemical agents and core displacement experiments show that there is no obvious correlation between the properties of chemical agents,including interfacial tension,emulsifying ability and oil washing *** heavy oil reservoirs,the emulsification and viscosity reduction performance of chemical agents was more important than the oil washing capacity,and the oil washing capacity was more important than the interface *** reduction performance was the key parameter of oil displacement agent suitable for heavy oil *** composite binary system consisting of the viscosity reducer and the polymer had better oil recovery than using viscosity reducer alone.

关键词： heavy oil viscosity reducer emulsion surfactant enhanced oil recovery

Preparation and Field Application of a Novel Micro-emulsion as Heavy Oil Displacement Agent

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China Petroleum Processing & Petrochemical Technology 2020年第3期22卷 19-27页

作者： qin bing Qiao Fulin Li Caifu SINOPEC Research Institute of Petroleum Processing Beijing 100083

A novel micro-emulsion was prepared by mixing an oil-soluble viscosity reducer,which was screened to aim at improving the heavy oil properties of Shengli oilfield with water-soluble surfactant and *** static viscosity reduction and oil washing performance of the micro-emulsion were investigated,and the field application of the microemulsion used as heavy oil displacement agent was also *** showed that the micro-emulsion exhibited excellent viscosity reduction performance for the studied heavy oil *** heavy oil was mixed with 0.5%of the micro-emulsion,a stable oil-in-water heavy oil emulsion could be *** the content of the micro-emulsion was increased to 3.0%,the oil removing rate reached up to 80%.Field application of the micro-emulsion to the Pai-601-Ping-115 well and the Pai-601-Ping-123 well was shown to be effective by increasing the periodic oil production up to 203 tons.

关键词： micro-emulsion heavy oil displacement agent field application