Natural Language Processing (NLP) Trends最新文献

A Survey of Cloud Service Events and Their Connections 云服务事件及其联系的调查

Natural Language Processing (NLP) Trends Pub Date : 2022-01-22 DOI: 10.5121/csit.2022.120108

Hangping Hu, Zhen E. Zhang, Weijian Qin, Yuanyuan Wang, Xiaojian Li

引用次数: 0

Pervasive Systems Development: A Stepwise Rule-centric Rigorous Service-Oriented Architectural Approach 普适系统开发:逐步以规则为中心的严格面向服务的体系结构方法

Natural Language Processing (NLP) Trends Pub Date : 2022-01-22 DOI: 10.5121/csit.2022.120110

Nasreddine Aoumeur, Kamel Barkaoui

{"title":"Pervasive Systems Development: A Stepwise Rule-centric Rigorous Service-Oriented Architectural Approach","authors":"Nasreddine Aoumeur, Kamel Barkaoui","doi":"10.5121/csit.2022.120110","DOIUrl":"https://doi.org/10.5121/csit.2022.120110","url":null,"abstract":"To stay competitive in today’s high market volatility and globalization, cross-organizational business information systems and processes are deemed to be knowledge-intensive (e.g. rulecentric), highly adaptive and context-aware, that is explicitly responding to their surrounding environment, user’s preferences and sensing devices. Towards achieving these objectives in developing such applications, we put forwards in this paper a stepwise service-oriented approach that exhibits an explicit separation of concerns, that is, we first conceptualize the mandatory functionalities and then separately and explicitly consider the added-values of contextual concerns, which we then integrate at both the fine-grained activity-level and the coarse-grained process-level to reflect their intuitive business semantics. Secondly, the proposed approach is based on business rule-centric architectural techniques, with emphasis on Event-Conditions-Actions (ECA)-driven transient tailored and adaptive architectural connectors. As third benefit, for formal underpinnings towards rapid-prototyping and validation, we semantically interpret the approach into rewriting logic and its true-concurrent and reflective operational semantics governed by the intrinsic practical Maude language.","PeriodicalId":189285,"journal":{"name":"Natural Language Processing (NLP) Trends","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129959931","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

Preparing Legal Documents for NLP Analysis: Improving the Classification of Text Elements by Using Page Features 为NLP分析准备法律文件:利用页面特征改进文本元素的分类

Natural Language Processing (NLP) Trends Pub Date : 2022-01-22 DOI: 10.5121/csit.2022.120102

Frieda Josi, Christian Wartena, U. Heid

{"title":"Preparing Legal Documents for NLP Analysis: Improving the Classification of Text Elements by Using Page Features","authors":"Frieda Josi, Christian Wartena, U. Heid","doi":"10.5121/csit.2022.120102","DOIUrl":"https://doi.org/10.5121/csit.2022.120102","url":null,"abstract":"Legal documents often have a complex layout with many different headings, headers and footers, side notes, etc. For the further processing, it is important to extract these individual components correctly from a legally binding document, for example a signed PDF. A common approach to do so is to classify each (text) region of a page using its geometric and textual features. This approach works well, when the training and test data have a similar structure and when the documents of a collection to be analyzed have a rather uniform layout. We show that the use of global page properties can improve the accuracy of text element classification: we first classify each page into one of three layout types. After that, we can train a classifier for each of the three page types and thereby improve the accuracy on a manually annotated collection of 70 legal documents consisting of 20,938 text elements. When we split by page type, we achieve an improvement from 0.95 to 0.98 for single-column pages with left marginalia and from 0.95 to 0.96 for double-column pages. We developed our own feature-based method for page layout detection, which we benchmark against a standard implementation of a CNN image classifier.","PeriodicalId":189285,"journal":{"name":"Natural Language Processing (NLP) Trends","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132285302","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: 2

Research on Throughput Maximization of Wireless Powered Communication Network based on a Retro Directive Matrix 基于复古指令矩阵的无线供电通信网络吞吐量最大化研究

Natural Language Processing (NLP) Trends Pub Date : 2022-01-22 DOI: 10.5121/csit.2022.120104

Bo Li, Hong Tang

引用次数: 0

Identification of Key Nodes in Equipment System Network based on Function Chain 基于功能链的设备系统网络关键节点识别

Natural Language Processing (NLP) Trends Pub Date : 2022-01-22 DOI: 10.5121/csit.2022.120101

Cheng Huang, Yong Gang Li, Ying Wang

{"title":"Identification of Key Nodes in Equipment System Network based on Function Chain","authors":"Cheng Huang, Yong Gang Li, Ying Wang","doi":"10.5121/csit.2022.120101","DOIUrl":"https://doi.org/10.5121/csit.2022.120101","url":null,"abstract":"With the rapid development of modern military technology, the combat mode has been upgraded from traditional platform combat to system-level confrontation. In traditional combat network, node function is single and which is no proper assignment of tasks. The equipment system network studied in this paper contains many different functional nodes, which constitute a huge heterogeneous complex network. Most of the key node identification methods are analyzed from the network topology structure, such as degree, betweenness, K-shell, PageRank, etc. However, with the change of network topology, the identification effect of these methods will be biased. In this paper, we construct a nodal attack sequence, Consider the change of the number of effective OODA chains in the equipment system network after the nodes in the sequence are attacked. And combined with the improved Gray Wolf optimization algorithm, this paper proposes a key node evaluation model of equipment system network based on function chain - IABFI. Experimental results show that the proposed method is more effective, accurate, and applicable to different network topologies than other key node identification methods.","PeriodicalId":189285,"journal":{"name":"Natural Language Processing (NLP) Trends","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116871743","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

A Context-Aware Intelligent System to Assist User Profile Filtering using AI and Deep Learning 使用人工智能和深度学习辅助用户配置文件过滤的上下文感知智能系统

Natural Language Processing (NLP) Trends Pub Date : 2022-01-22 DOI: 10.5121/csit.2022.120105

Xinrui Que, Yao Pan

{"title":"A Context-Aware Intelligent System to Assist User Profile Filtering using AI and Deep Learning","authors":"Xinrui Que, Yao Pan","doi":"10.5121/csit.2022.120105","DOIUrl":"https://doi.org/10.5121/csit.2022.120105","url":null,"abstract":"Community based websites such as social networks and online forums usually require users to register by providing profile information and avatars. It is important to ensure these user uploaded information comply with the website policy. This includes the information being personal, related and clear, as well as not containing unhealthy/disturbing content. A review or censorship system is usually deployed to review new user registration. Nowadays, many platforms still use manual review or rely on 3rd party APIs. However, manual review is timeconsuming and costly. While 3rd party services are not tailored to the specific business needs thus do not provide enough accuracy. In this paper, we developed an automatically new user registration review system with deep learning. We apply the state-of-art techniques such as CNN and BERT for an end-to-end evaluation system for multi-modal content. We tested our system in E-pal, a freelancing platform for gaming companionship and conducted a qualitative evaluationof the approach. The results show that our system can evaluate the quality of avatars, voice descriptions, and text profiles with high accuracy. The system can significantly reduce the effort of manual review and also provides input for the recommendation ranking.","PeriodicalId":189285,"journal":{"name":"Natural Language Processing (NLP) Trends","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124337559","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

Shortcomings of the Fundamental Matrix Equation to Reconstruct 3D Scenes 基本矩阵方程重建三维场景的不足

Natural Language Processing (NLP) Trends Pub Date : 2022-01-22 DOI: 10.5121/csit.2022.120106

T. Basta

引用次数: 1

Research on Anti-Interference of Double Hop Wireless Powered Communication Networks based on Time Reversal 基于时间反转的双跳无线通信网络抗干扰研究

Natural Language Processing (NLP) Trends Pub Date : 2022-01-22 DOI: 10.5121/csit.2022.120103

Wei Liu, Fang Wei Li, Jun Zhou Xiong, Ming Yue Wang

引用次数: 0

An Intelligent System to Automate the Inquery in Logistics Industry using AI and Machine Learning 利用人工智能和机器学习实现物流行业查询自动化的智能系统

Natural Language Processing (NLP) Trends Pub Date : 2022-01-22 DOI: 10.5121/csit.2022.120109

Leo Liao, Ang Li

引用次数: 0