Marvin: Semantic annotation using multiple knowledge sources
University of Manchester（曼彻斯特大学）
Nikola Milosevic
备注：
9 pages, 4 figures, keywords: Semantic annotation, text normalization, semantic web, linked data, information management, text mining, information extraction, data curation
People are producing more written material then anytime in the history. The increase is so high that professionals from the various fields are no more able to cope with this amount of publications. Text mining tools can offer tools to help them and one of the tools that can aid information retrieval and information extraction is semantic text annotation. In this report we present Marvin, a text annotator written in Java, which can be used as a command line tool and as a Java library. Marvin is able to annotate text using multiple sources, including WordNet, MetaMap, DBPedia and thesauri represented as SKOS.
An Analysis of the Semantic Annotation Task on the Linked Data Cloud
Polytechnique Montréal（蒙特利尔理工学院）；University of Ottawa（渥太华大学）；Fundação Getulio Vargas（热图利奥·瓦加斯基金会）；Escola de Administração de Empresas de São Paulo（圣保罗企业管理学院）；Ferdowsi University of Mashhad（马什哈德菲尔多西大学）；Netmail（Netmail公司）
Building a comprehensive syntactic and semantic corpus of Chinese clinical texts
School of Computer Science and Technology, Harbin Institute of Technology（哈尔滨工业大学计算机科学与技术学院）；Ricoh Software Research Center (Beijing)（理光软件研究所（北京））；School of Software, Harbin University of Science and Technology（哈尔滨理工大学软件学院）；Medical Records Room, the Second Affiliated Hospital of Harbin Medical University（哈尔滨医科大学附属第二医院病案室）
Text-Aided Multi-Modal Panoptic Symbol Spotting for CAD Floor Plan Drawings
CCSE Lab, Beihang University（北京航空航天大学CCSE实验室）；School of Transportation Science and Engineering, Beihang University（北京航空航天大学交通科学与工程学院）；The Hong Kong Polytechnic University（香港理工大学）
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations
Tsinghua Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院）；Peng Cheng Laboratory（鹏城实验室）；Southern University of Science and Technology（南方科技大学）；Shenzhen Rejoice Sport Tech. Co., LTD（深圳悦动体育科技有限公司）
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme
National Chung Cheng University（国立 Chung Cheng 大学）；Posts and Telecommunications Institute of Technology（邮电研究所）；Université de Bourgogne（布尔格ogne大学）；Institut de Science Financière et d’Assurances（金融与保险研究所）；University of Information Technology（信息科技大学）
Speeding up the annotation process in semantic segmentation industrial applications
Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, DaSCI, University of Granada（格拉纳达大学计算机科学与人工智能系，安达卢西亚数据科学与计算智能研究所，DaSCI）；Department of Computer Science and Automatic Control, National Distance Education University (UNED)（国立远程教育大学计算机科学与自动控制系）
MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing
Reid School of Music, University of Edinburgh（爱丁堡大学里德音乐学院）；Institute for Sport, Physical Education and Health Sciences (ISPEHS), University of Edinburgh（爱丁堡大学体育教育与健康科学研究所）；National Yang Ming Chiao Tung University（国立阳明交通大学）；Institute of Information Science, Academia Sinica（中央研究院资讯科学研究所）；Graduate School of Informatics, Kyoto University（京都大学情报学研究科）
