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使用HLT和MLT自动化文献注释
Automating Document Annotation using HLT and ML |
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| 课程网址: |
http://videolectures.net/rease_ciravegna_adauh/
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| 主讲教师: |
Fabio Ciravegna
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| 开课单位: |
谢菲尔德大学
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| 开课时间: |
2011-11-09
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| 课程语种: |
英语
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| 中文简介: |
这是一个一小时的录像，记录了Fabio Ciravegna在2006年知识网暑期学校的表现。它包括与幻灯片同步的视频（需要闪存）或单独的视频。目录：使用HLT和ML教程自动文档注释概要信息搜索一些硬事实知识源传统方法妨碍搜索一般要求的因素一般要求：多媒体喷气发动机大型KM要求示例要求（CTD）基于本体的文档A注释基于本体的注释何时/我们要注释什么？基于本体的注释aktiveMedia：文本和图像以及跨文本的注释被选中并放入本体中的概念图像和跨文档的文本注释（Cream，2001）以用户为中心的文档注释注释中的问题：从哪里开始？手动注释（1）示例为什么不包括示例中的问题手动注释（2）用于注释的问题…可行吗？手动注释（2）语义Web注释引擎的自动注释使用IE支持注释的优点：步骤1使用IE支持注释：步骤2学习曲线对注释的影响大型注释Armadillo注释作为从名为Entity Reco的文本中获取大规模提取策略信息gnition传统的NER&C大型NER&C大型NER方法：索引已知的名称识别新名称的发现更复杂的IE：事件建模自动IE信息提取示例注释材料的使用：搜索查询文档查询IPAS信息中的文档访问服务统计I集成信息的使用：Gourm Adillo Martin Dzbor、John B.Domingue和Enrico Motta。喜鹊：指向语义Web浏览器。ISWC 20来源Simmetrics另一种注释类型：BrainDump不同类型的注释：BrainDump结论未来工作和挑战自动注释工具列表
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| 课程简介: |
This is a one-hour video recording of the presentation of Fabio Ciravegna at the KnowledgeWeb summer school 2006. It comprises either the video synchronized with the slides (requires Flash) or the video alone. Table of Contents: Automating Document Annotation using HLT and ML Tutorial Outline Information searching Some hard facts Sources of Knowledge Traditional Approaches Factors hampering searching General Requirements General requirements: Multi-Mediality Jet engine example Requirements for Large Scale KM Requirements (ctd) Ontology-based Document Annotation Ontology-based Annotation When/What do we annotate? Ontology-based Annotation AktiveMedia: Annotation for text and images and across Text is selected and dropped into a concept in the ontology Contextual Annotation of Images and Text Annotating across documents (CREAM, 2001) Issues in User Centred Document Annotation Annotations: Where From? Manual Annotation (1) An Example Why not including Problems in the example Problems with Manual Annotation (2) Annotation for use... Doable? Manual Annotation (2) Automating Annotation for the Semantic Web Annotation Engines Advantages Using IE to support annotation: step 1 Using IE to support annotation: step 2 Learning curve Impact on Annotation Large Scale Annotation Armadillo Annotation as Harvesting Large Scale Extraction Strategy Information Extraction From Text Named Entity Recognition Traditional approach to NER&C Large Scale NER&C Large Scale NER: Indexing Known Name Recognition Discovery of New Names More complex IE: event modelling An Example of Automatic IE Information extraction Use of Annotated Material: Searching Querying the documents Querying documents Accessing Services Statistics in IPAS Information Integration Use of Integrated Information Gourm-adillo Martin Dzbor, John B. Domingue, and Enrico Motta. Magpie: - towards a semantic web browser. ISWC 20 Sources SimMetrics Another Type of Annotation: Braindump A different type of annotation: braindump Conclusions Future Work & Challenges A list of tools for automatic annotation
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| 关 键 词: |
自动文档注释; HLT; ML; 实例模型
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| 课程来源: |
视频讲座网
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| 最后编审: |
2020-06-03：毛岱琦(课程编辑志愿者)
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| 阅读次数: |
44
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