2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)最新文献_第2页

Annotating Online Civic Discussion Threads for Argument Mining 为论证挖掘注解在线公民讨论线程

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-39

Gaku Morio

引用次数: 11

An Innovative IPFS-Based Storage Model for Blockchain 基于ipfs的区块链创新存储模型

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.000-8

Qiuhong Zheng, Yi Li, Ping Chen, Xinghua Dong

引用次数: 143

Investigating Learning Resources Precedence Relations via Concept Prerequisite Learning 概念前提学习对学习资源优先关系的研究

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-89

R. Manrique, J. Sosa, O. Mariño, B. Nunes, Nicolás Cardozo

{"title":"Investigating Learning Resources Precedence Relations via Concept Prerequisite Learning","authors":"R. Manrique, J. Sosa, O. Mariño, B. Nunes, Nicolás Cardozo","doi":"10.1109/WI.2018.00-89","DOIUrl":"https://doi.org/10.1109/WI.2018.00-89","url":null,"abstract":"The identification of prerequisite relationships among concepts is a fundamental step toward the organization of knowledge for educational purposes. In the context of a learning process, simplest concepts that are requirements to understand and address more complex concepts should be presented first. Therefore, the identification of prerequisite relationships is a fundamental step for effective course design and automatic learning path generation systems. Although there have been recent advances in machine learning methods for the automatic identification of prerequisite relationships between concepts, little research has been done on whether these automatic strategies can be extended to establish precedence relationships among learning resources. The precedence relation between two learning resources establishes which of the resources must be presented first. In this paper, we approach this problem and propose a strategy to identify the precedence relation. Given two learning resources our strategy analyzes prerequisites among the concepts addressed by the learning resources to estimate the precedence relation. A set of 1588 pairs of learning resources extracted from MOOCs refined by human experts is used to evaluate the strategy. The experimental results show that it is possible to identify the precedence relation between learning resources through the automatic identification of prerequisite relationships between concepts.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130156231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Dynamic Visualization of Quality in Online Conversations 在线对话质量的动态可视化

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-72

Brian Thoms, Evren Eryilmaz, N. Dubin, Rafael Hernandez, Sara Colon-Cerezo

引用次数: 2

Sentiment Classification on Twitter Data Using Support Vector Machine 基于支持向量机的Twitter数据情感分类

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-13

Sheeba Naz, Aditi Sharan, Nidhi Malik

引用次数: 45

Estimation Errors in Network A/B Testing Due to Sample Variance and Model Misspecification 网络A/B测试中由于样本方差和模型不规范导致的估计误差

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-40

Francisco Galuppo Azevedo, Bruno Demattos Nogueira, Fabricio Murai, Ana Paula Couto da Silva

引用次数: 1

Online Learning Applied to Autonomous Valuation of Financial Assets 在线学习在金融资产自主估值中的应用

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/wi.2018.00-33

Paulo André Lima de Castro, Marcel Soares Ribeiro

{"title":"Online Learning Applied to Autonomous Valuation of Financial Assets","authors":"Paulo André Lima de Castro, Marcel Soares Ribeiro","doi":"10.1109/wi.2018.00-33","DOIUrl":"https://doi.org/10.1109/wi.2018.00-33","url":null,"abstract":"In the context of Artificial Intelligence, Online learning is focused on environments that are not independent and identically distributed, i.e. the environment may changes its behavior as time goes by. Blum proposed a famous algorithm to this problem, which was called randomized weighted majority algorithm. In this paper, we propose an adaptation of such algorithm to autonomous valuation of financial assets. Our approach is based on learning from expert's advices, in order to create a more adaptable solution and reuse some results achieved for other researchers. We also briefly review some papers in the field. The proposed approach is materialized through an online learning algorithm that defines an analysis derived from many different analyses performed by autonomous analysts. Such analysts may be created using techniques from finance or machine learning fields. Our algorithm is able to take into account different costs of analysis errors. We believe that this skill in fundamental to an efficient analyst. We implemented the algorithm and tested it using several different techniques from finance and one (very simple) algorithm from machine learning area. This implementation was tested and the achieved results are analyzed and discussed. Furthermore, we proved that our algorithm's cost of error is limited by an expression of the cost of error of the best autonomous analyst. We believe that this algorithm may contribute to development of better systems that intend to estimate the price of financial assets in an autonomous way.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"2006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125828834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

WI 2018 Program Committee WI 2018项目委员会

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/wi.2018.00007

引用次数: 0

High Accuracy Question Answering via Hybrid Controlled Natural Language 基于混合控制自然语言的高精度问答

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.0-112

Tiantian Gao, Paul Fodor, M. Kifer

{"title":"High Accuracy Question Answering via Hybrid Controlled Natural Language","authors":"Tiantian Gao, Paul Fodor, M. Kifer","doi":"10.1109/WI.2018.0-112","DOIUrl":"https://doi.org/10.1109/WI.2018.0-112","url":null,"abstract":"Knowledge representation and reasoning (KRR) is key to the vision of the intelligent Web. Unfortunately, wide deployment of KRR is hindered by the difficulty in specifying the requisite knowledge, which requires skills that most domain experts lack. A way around this problem could be to acquire knowledge automatically from documents. The difficulty is that, KRR requires high-precision knowledge and is sensitive even to small amounts of errors. Although most automatic information extraction systems developed for general text understandings have achieved remarkable results, their accuracy is still woefully inadequate for logical reasoning. A promising alternative is to ask the domain experts to author knowledge in Controlled Natural Language (CNL). Nonetheless, the quality of knowledge construction even through CNL is still grossly inadequate, the main obstacle being the multiplicity of ways the same information can be described even in a controlled language. Our previous work addressed the problem of high accuracy knowledge authoring for KRR from CNL documents by introducing the Knowledge Authoring Logic Machine (KALM). This paper develops the query aspect of KALM with the aim of getting high precision answers to CNL questions against previously authored knowledge and is tolerant to linguistic variations in the queries. To make queries more expressive and easier to formulate, we propose a hybrid CNL, i.e., a CNL with elements borrowed from formal query languages. We show that KALM achieves superior accuracy in semantic parsing of such queries.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130530441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

A Novel Framework for Distress Detection through an Automated Speech Processing System 基于自动语音处理系统的遇险检测新框架

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-29

R. Rana, R. Gururajan, G. Mackenzie, J. Dunn, A. Gray, Xujuan Zhou, P. Barua, J. Epps, G. Humphris

{"title":"A Novel Framework for Distress Detection through an Automated Speech Processing System","authors":"R. Rana, R. Gururajan, G. Mackenzie, J. Dunn, A. Gray, Xujuan Zhou, P. Barua, J. Epps, G. Humphris","doi":"10.1109/WI.2018.00-29","DOIUrl":"https://doi.org/10.1109/WI.2018.00-29","url":null,"abstract":"Based on our ongoing work, this work in progress project aims to develop an automated system to detect distress in people to enable early referral for interventions to target anxiety and depression, to mitigate suicidal ideation and to improve adherence to treatment. The project will utilize either use existing voice data to assess people into various scales of distress, or will collect voice data as per existing standards of distress measurement, to develop basic computing algorithms required to detect various attributes associated with distress, detected through a person's voice in a telephone call to a helpline. This will be then matched with the already available psychological assessment instruments such as the Distress Thermometer for these persons. In order to trigger interventions, organizational contexts are essential as interventions rely on the type of distress. Therefore, the model will be tested on various organizational settings such as the Police, Emergency and Health along with the Distress detection instruments normally used in a psychological assessment for accuracy and validation. The outcome of the project will culminate in a fully automated integrated system, and will save significant resources to organizations. The translation of the project will be realized in step-change improvements to quality of life within the gamut of public policy.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131762242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0