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Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks

Cross-Task Instance Representation Interactions and Label De...

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2021 conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021

作者： Van Nguyen, Minh Lai, Viet Dac Nguyen, Thien Huu Department of Computer and Information Science University of Oregon EugeneOR United States

ISBN: (纸本)9781954085466

Existing works on information extraction (IE) have mainly solved the four main tasks separately (entity mention recognition, relation extraction, event trigger detection, and argument extraction), thus failing to benefit from inter-dependencies between tasks. This paper presents a novel deep learning model to simultaneously solve the four tasks of IE in a single model (called FourIE). Compared to few prior work on jointly performing four IE tasks, FourIE features two novel contributions to capture inter-dependencies between tasks. First, at the representation level, we introduce an interaction graph between instances of the four tasks that is used to enrich the prediction representation for one instance with those from related instances of other tasks. Second, at the label level, we propose a dependency graph for the information types in the four IE tasks that captures the connections between the types expressed in an input sentence. A new regularization mechanism is introduced to enforce the consistency between the golden and predicted type dependency graphs to improve representation learning. We show that the proposed model achieves the state-of-the-art performance for joint IE on both monolingual and multilingual learning settings with three different languages. © 2021 Association for Computational Linguistics.

关键词： Information retrieval

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Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients Using Data-Driven Network Analysis 1

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20th Annual international conference on Computational Science (ICCS)

作者： Abuhay, Tesfamariam M. Nigatie, Yemisrach G. Metsker, Oleg G. Yakovlev, Aleksey N. Kovalchuk, Sergey, V ITMO Univ St Petersburg Russia Almazov Natl Med Res Ctr St Petersburg Russia Univ Gondar Gondar Ethiopia

ISBN: (数字)9783030504236

ISBN: (纸本)9783030504236;9783030504229

Healthcare systems are challenged to deliver high-quality and efficient care. Studying patient flow in a hospital is particularly fundamental as it demonstrates effectiveness and efficiency of a hospital. Since hospital is a collection of physically nearby services under one administration, its performance and outcome are shaped by the interaction of its discrete components. Coordination of processes at different levels of organizational structure of a hospital can be studied using network analysis. Hence, this article presents a data-driven static and temporal network of departments. Both networks are directed and weighted and constructed using seven years' (2010-2016) empirical data of 24902 Acute Coronary Syndrome (ACS) patients. The ties reflect an episode based transfer of ACS patients from department to department in a hospital. The weight represents the number of patients transferred among departments. As a result, the underlying structure of network of departments that deliver healthcare for ACS patients is described, the main departments and their role in the diagnosis and treatment process of ACS patients are identified, the role of departments over seven years is analyzed and communities of departments are discovered. The results of this study may help hospital administration to effectively organize and manage the coordination of departments based on their significance, strategic positioning and role in the diagnosis and treatment process which, in-turn, nurtures value-based and precision healthcare.

关键词： Healthcare operations management Network analysis Graph theory Data-Driven modeling Complex system

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modeling the Costs of Trade Finance During the Financial Crisis of 2008–2009: An application of Dynamic Hierarchical Linear Model 18th

Modeling the Costs of Trade Finance During the Financial Cri...

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18th international conference on Information Processing and Management of Uncertainty in Knowledge-Based systems, IPMU 2020

作者： Mullick, Shantanu Malshe, Ashwin Glady, Nicolas Eindhoven University of Technology Eindhoven5612AZ Netherlands University of Texas at San Antonio San AntonioTX78249 United States Telecom Paris Palaiseau91120 France

ISBN: (纸本)9783030501457

The authors propose a dynamic hierarchical linear model (DHLM) to study the variations in the costs of trade finance over time and across countries in dynamic environments such as the global financial crisis of 2008–2009. The DHLM can cope with challenges that a dynamic environment entails: nonstationarity, parameters changing over time and cross-sectional heterogeneity. The authors employ a DHLM to examine how the effects of four macroeconomic indicators – GDP growth, inflation, trade intensity and stock market capitalization - on trade finance costs varied over a period of five years from 2006 to 2010 across 8 countries. We find that the effect of these macroeconomic indicators varies over time, and most of this variation is present in the year preceding and succeeding the financial crisis. In addition, the trajectory of time-varying effects of GDP growth and inflation support the "flight to quality" hypothesis: cost of trade finance reduces in countries with high GDP growth and low inflation, during the crisis. The authors also note presence of country-specific heterogeneity in some of these effects. The authors propose extensions to the model and discuss its alternative uses in different contexts. © 2020, Springer Nature Switzerland AG.

关键词： Time series analysis

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Large scale distributed data processing for a network of humanoid telepresence robots

Large scale distributed data processing for a network of hum...

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2020 IEEE international IOT, Electronics and Mechatronics conference, IEMTRONICS 2020

作者： Steve Cardenas, Irvin Kumar Paladugula, Pradeep Kim, Jong-Hoon Kent State University Advanced Telerobotics Research Lab Computer Science KentOH United States

ISBN: (纸本)9781728196152

We present an open-source data lake architecture implemented to store and process data from robotic systems at large scale. In particular, we leverage our architecture for the use case of processing data from a network of humanoid telepresence robotic avatars that are controlled by human operators wearing immersive telepresence control suits. Our architecture leverages well-established open-source technologies and integrates into existing robot frameworks and middleware such as Robot Operating system (ROS) and Data Distribution Service (DDS). © 2020 IEEE.

关键词： Big data

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Towards a Collaborative Approach to Decision Making Based on Ontology and Multi-Agent system

Towards a Collaborative Approach to Decision Making Based on...

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international conference on ENTERprise Information systems (CENTERIS) / international conference on Project MANagement (ProjMAN) / international conference on Health and Social Care Information systems and Technologies (HCist)

作者： Maalel, Ahmed Ben Ghezala, Henda Univ Manouba Natl Sch Comp Sci RIADI Lab Manouba 2010 Tunisia Univ Sousse Higher Inst Appl Sci & Technol Sousse 4003 Tunisia

The coordination and cooperation of all the stakeholders involved is a decisive point for the control and the resolution of problems. In the insecurity events, the resolution should refer to a plan that defines a general framework of the procedures to be undertaken and the instructions to be complied with;also, a more precise process must be defined by the actors to deal with the case represented by the particular problem of the current situation. Indeed, this process has to cope with a dynamic, unstable and unpredictable environment, due to the heterogeneity and multiplicity of stakeholders, and finally due to their possible geographical distribution. In this article, we will present the first steps of validation of a collaborative decision-making approach in the context of crisis situations such as road accidents. This approach is based on ontologies and multi-agent systems. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the CENTERIS -international conference on ENTERprise Information systems / ProjMAN - international conference on Project MANagement / HCist - international conference on Health and Social Care Information systems and Technologies.

关键词： Decision Making Crisis Management Ontology Multi-Agent system Collaboration

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Self-Awareness for Autonomous systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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A comparative study of trust and reputation models in mobile agent systems 14th

A comparative study of trust and reputation models in mobile...

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14th international KES conference on Agents and Multi-Agent systems: Technologies and applications, KES-AMSTA 2020

作者： Samet, Donies Ktata, Farah Barika Ghedira, Khaled National School of Computer Science University Campus of Manouba Manouba2010 Tunisia Higher Institute of Applied Sciences and Technology of Sousse Rue Tahar Ben Achour Sousse4003 Tunisia Université Centrale de Tunis Honoris United Universities Tunis Tunisia

ISBN: (纸本)9789811557637

In the literature, several studies have shown that the use of trust models in mobile agent-based systems has advantages for improving the level of security and performance. This paper presents a comparative study of trust models specific to mobile agents, showing their strengths and limitations. The comparison is made based on several dimensions. The purpose of this study is to analyze the used dimensions by these models (parameters, concepts, etc.) and to identify the dimensions that are not used in the existing models of trust. This study will allow researchers to address the voids by ameliorating the concluded limits and proposing a new trust model, which besides incent entities to not adopt a selfish and/or strategic behavior will reflect better the reality of the behavior of the different entities on the mobile agent system. As a result, the trust values will be more accurate and the decision-making will be more precise. To make the requirements of the trust model easier to understand, we add a B2B application based on mobile agents and we integrate into each host of it a trust layer that allows the integration of the proposed dimensions. We present also the flowchart of the new related trust model. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2020.

关键词： Mobile agents

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Expert system for Diagnosis Chicken Disease using Bayes Theorem 2

Expert System for Diagnosis Chicken Disease using Bayes Theo...

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2nd international conference on Mechanical, Electronics, computer, and Industrial Technology, MECnIT 2018

作者： Sihotang, Hengki Tamando Riandari, Fristi Simanjorang, R.Mahdalena Simangunsong, Agustina Hasugian, Penda Sudarto Informatics Engineering Department STMIK Pelita Nusantara Medan Indonesia

Chicken disease is a condition in which the body organs of chickens cannot function normally. Diagnosing a disease requires symptoms that appear on the chicken's body. To conduct a disease diagnosis, further examination is needed by specialists (experts). An expert system is a system that uses human knowledge that is entered into a computer to solve problems that are usually resolved by experts. The system created in solving problems uses the Bayes Theorem method in which the inference process uses Forward Chaining. The application was developed using the visual basic 2010 programming language and MySQL database. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Visual BASIC

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Semi-Distributed modeling Of A Large Scale Hydrological system Using SWAT Model

Semi-Distributed Modeling Of A Large Scale Hydrological Syst...

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international conference on Electronics, Control, Optimization and computer Science (ICECOCS)

作者： Erraioui Lamia Taia Soufiane Haida Souad Elmansouri Bouabid Chao Jamal Mrabet. Souad Kamal Taj-Eddine University Ibn Tofail Kenitra Morocco University Caddi Ayad Marrakech Morocco

ISBN: (数字)9781728169217

ISBN: (纸本)9781728169224

This work aims to contribute to water resource management in one of the main Moroccan rivers using the SWAT model. Physically-based modeling aims to represent the interactions between the external factors (rainfall and temperature) and internal factors in the catchment (landuse, soil and groundwater). In this matter, the SWAT agro-hydrological model is operated at a monthly time step over the period 1990-2014 in the Ouergha catchment. The modeling was carried out on a period of 24 years including 7 years as warm-up period, 9 years for calibration and 8 years for validation. A spatial calibration approach has been applied to optimize the sensitive parameters in each sub-basin. The results indicated that NSE were between 0.60 and 0.85 in calibration, and was between 0.60 and 0.75 in validation period. This study shows a good agreement between simulated and observed monthly flow except for two stations where flows have been undervalued or overvalued. Overestimation and underestimation are due to river's overexploitation by irrigation and flooding in 2009 and 2010 respectively. Using the optimized parameter sets, the calibrated and validated SWAT model allowed us to establish the water balance of the Ouergha basin. It shows a dominance of evapotranspiration which represents 54% of rainfall, while surface runoff is 29%, lateral flow is 10% and total aquifer recharge is 8%.

关键词： Soil Calibration Geology Dams Meteorology Uncertainty Rivers

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A Method Proposal for Conducting Simulation Projects in Industry 4.0: A Cyber-Physical system in an Aeronautical Industry

A Method Proposal for Conducting Simulation Projects in Indu...

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Simulation Winter conference

作者： José Arnaldo Barra Montevechi Carlos Henrique dos Santos Gustavo Teodoro Gabriel Mona Liza Moura de Oliveira José Antonio de Queiroz Fabiano Leal Production Engineering and Management Institute Federal University of Itajubá Itajubá MG Brazil

ISBN: (数字)9781728194998

ISBN: (纸本)9781728195001

In Industry 4.0, computer simulation has been changing its application. Simulation models focused on specific analysis give space to models with automation degree and they are integrated with different systems. This integration favors the constant model updating based on variations in the real system, enabling faster decision making. In this way, simulation models are part of cyber-physical systems since they represent a virtual version of the real process. In this context, the present work proposed a method adapted from Montevechi et al. (2010) to carry out simulation projects according to Industry 4.0 principles. Finally, the proposed method was applied in a supply material process in an aeronautical industry, validating it and showing how the simulation works in the Industry 4.0.

关键词： Industries Adaptation models Analytical models Computational modeling Decision making Cyber-physical systems Tools

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