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Proceedings of the 2017 ACM Symposium on Document Engineering最新文献

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Session details: Collections, Systems and Management 会议细节:集合、系统和管理
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3248707
P. King
{"title":"Session details: Collections, Systems and Management","authors":"P. King","doi":"10.1145/3248707","DOIUrl":"https://doi.org/10.1145/3248707","url":null,"abstract":"","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130955554","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
DocHandles: Linking Document Fragments in Messaging Apps DocHandles:在消息应用程序中链接文档片段
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3103010.3121036
Laurent Denoue, S. Carter, Jennifer Marlow, Matthew L. Cooper
{"title":"DocHandles: Linking Document Fragments in Messaging Apps","authors":"Laurent Denoue, S. Carter, Jennifer Marlow, Matthew L. Cooper","doi":"10.1145/3103010.3121036","DOIUrl":"https://doi.org/10.1145/3103010.3121036","url":null,"abstract":"In this paper, we describe DocHandles, a novel system that allows users to link to specific document parts in their chat applications. As users type a message, they can invoke the tool by referring to a specific part of a document, e.g., \"@fig1 needs revision\". By combining text parsing and document layout analysis, DocHandles can find and present all the figures \"1\" inside previously shared documents, allowing users to explicitly link to the relevant \"document handle\". In this way, Ddocuments become first-class citizens inside the conversation stream where users can seamlessly integrate documents in their text-centric messaging application.","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"402 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122842078","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: 5
Understanding the User: User Studies and User Evaluation for Document Engineering 理解用户:文档工程中的用户研究和用户评估
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3103010.3109452
K. Marriott, S. Simske, Margaret Sturgill
{"title":"Understanding the User: User Studies and User Evaluation for Document Engineering","authors":"K. Marriott, S. Simske, Margaret Sturgill","doi":"10.1145/3103010.3109452","DOIUrl":"https://doi.org/10.1145/3103010.3109452","url":null,"abstract":"Document engineering is all about building systems and tools that allow people to work with documents and document collections. A key aspect is the usefulness and usability of these tools. In this tutorial, we will look at the many different kinds of user studies and user evaluations that can be used to inform the design and improve utility and usability of document engineering applications. The tutorial will be based on actual studies and will also give participants a chance to explore how they might use these techniques in their research or system development.","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115805729","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
The Mitchell Library WordCloud: Beyond Boolean Search 米切尔图书馆词汇云:超越布尔搜索
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3103010.3103017
Monika M. Schwarz, K. Marriott, J. Mccormack
{"title":"The Mitchell Library WordCloud: Beyond Boolean Search","authors":"Monika M. Schwarz, K. Marriott, J. Mccormack","doi":"10.1145/3103010.3103017","DOIUrl":"https://doi.org/10.1145/3103010.3103017","url":null,"abstract":"Libraries are increasingly offering on-line digital access to their collections. However, traditional search-based interfaces are restrictive and do not encourage the user to explore the collection in the same way that a physical collection does. We present the Mitchell WordCloud, a novel on-line interface to the David Scott Mitchell collection of the State Library of New South Wales. Based on interface design principles for explorative search, it presents the user with a word cloud derived from the collection and a list of titles. As the user drags words from the word cloud to tell the system what they like or dislike the title list is reordered. The surrounding interface elements -- image bar, time line and Dewey bar -- provide complementary insights into the collection. The traditional vector space model for measuring text similarity was extended to take account of user dislikes and to order words in the word cloud. User studies confirmed that the Mitchell WordCloud is easy to use and encourages exploration.","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125962940","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: 1
Clinically Significant Information Extraction from Radiology Reports 从放射学报告中提取临床重要信息
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3103010.3103023
Nidhin Nandhakumar, Ehsan Sherkat, E. Milios, Hong Gu, Michael Butler
{"title":"Clinically Significant Information Extraction from Radiology Reports","authors":"Nidhin Nandhakumar, Ehsan Sherkat, E. Milios, Hong Gu, Michael Butler","doi":"10.1145/3103010.3103023","DOIUrl":"https://doi.org/10.1145/3103010.3103023","url":null,"abstract":"Radiology reports are one of the most important medical documents that a diagnostician looks into, especially in the emergency context. They provide the emergency physicians with critical information regarding the condition of the patient and help the physicians take immediate action on urgent conditions. However, the reports are in the form of unstructured text, which makes them time consuming for humans to interpret. We have developed a machine learning system to (a) efficiently extract the clinically significant parts and their level of importance in radiology reports, and (b) to classifies the overall report into critical or non-critical categories which help doctors to identify potential high priority reports. As a starting point, the system uses anonymized chest X-RAY reports of adults and provides three levels of importance for medical phrases. We used the Conditional Random Field (CRF) model to identify clinically significant phrases with an average f1-score of 0.75. The proposed system includes a web-based interface which highlights the medical phrases, and their level of importance to the emergency physician. The overall classification of the report is performed using the phrases extracted from the CRF model as features for the classifier. Average accuracy achieved is 85%.","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126528052","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: 9
Classification of MathML Expressions Using Multilayer Perceptron 基于多层感知机的MathML表达式分类
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3103010.3121026
Yuma Nagao, Nobutaka Suzuki
{"title":"Classification of MathML Expressions Using Multilayer Perceptron","authors":"Yuma Nagao, Nobutaka Suzuki","doi":"10.1145/3103010.3121026","DOIUrl":"https://doi.org/10.1145/3103010.3121026","url":null,"abstract":"MathML consists of two sets of elements: Presentation Markup and Content Markup. The former is more widely used to display math expressions in Web pages, while the latter is more suited to the calculation of math expressions. In this paper, we consider classifying math expressions in Presentation Markup. In general, a math expression in Presentation Markup cannot be uniquely converted into the corresponding expression in Content Markup. If the class of a given math expression can be identified automatically, such conversions can be done more appropriately. Moreover, identifying the class of a given math expression is useful for text-to-speech of math expression. In this paper, we propose a method for classifying math expressions in Presentation Markup by using a kind of deep learning; multilayer perceptron. Experimental results show that our method classifies math expressions with high accuracy.","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"400 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116332666","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
The RASH JavaScript Editor (RAJE): A Wordprocessor for Writing Web-first Scholarly Articles RASH JavaScript编辑器(RAJE):用于编写web优先学术文章的文字处理器
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3103010.3103018
Gianmarco Spinaci, S. Peroni, A. Iorio, Francesco Poggi, F. Vitali
{"title":"The RASH JavaScript Editor (RAJE): A Wordprocessor for Writing Web-first Scholarly Articles","authors":"Gianmarco Spinaci, S. Peroni, A. Iorio, Francesco Poggi, F. Vitali","doi":"10.1145/3103010.3103018","DOIUrl":"https://doi.org/10.1145/3103010.3103018","url":null,"abstract":"The most used format for submitting and publishing papers in the academic domain is the Portable Document Format (PDF), since its possibility of being rendered in the same way independently from the device used for visualising it. However, the PDF format has some important issues as well, among which the lack of interactivity and the low degree of accessibility. In order to address these issues, recently some journals, conferences, and workshops have started to accept also HTML as Web-first submission/publication format. However, most of the people are not able to produce a well-formed HTML5 article from scratch, and they would, thus, need an appropriate interface, e.g. a word processor, for creating such HTML-compliant scholarly article. To provide a solution to the aforementioned issue, in this paper we introduce the RASH JavaScript Editor (a.k.a. RAJE), which is a multi platform word processor for writing scholarly articles in HTML natively. RAJE allows authors to write research papers by means of a user-friendly interface hiding the complexities of HTML5. We also discuss the outcomes of a user study where we asked some researchers to write a scientific paper using RAJE.","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131933775","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: 4
Session details: Multimedia and Mobile Documents 会议详情:多媒体和移动文档
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3248713
E. Munson
{"title":"Session details: Multimedia and Mobile Documents","authors":"E. Munson","doi":"10.1145/3248713","DOIUrl":"https://doi.org/10.1145/3248713","url":null,"abstract":"","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129137776","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
Session details: Document Analysis: Classification and Similarity 会议详细内容:文档分析:分类和相似度
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3248710
Frank Wm. Tompa
{"title":"Session details: Document Analysis: Classification and Similarity","authors":"Frank Wm. Tompa","doi":"10.1145/3248710","DOIUrl":"https://doi.org/10.1145/3248710","url":null,"abstract":"","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124345499","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
High-Performance Preprocessing of Architectural Drawings for Legend Metadata Extraction via OCR 基于OCR的建筑图纸图例元数据提取的高性能预处理
Proceedings of the 2017 ACM Symposium on Document Engineering Pub Date : 2017-08-31 DOI: 10.1145/3103010.3121042
Tamir Hassan, J. Vergés-Llahí, Andres Gonzalez
{"title":"High-Performance Preprocessing of Architectural Drawings for Legend Metadata Extraction via OCR","authors":"Tamir Hassan, J. Vergés-Llahí, Andres Gonzalez","doi":"10.1145/3103010.3121042","DOIUrl":"https://doi.org/10.1145/3103010.3121042","url":null,"abstract":"This paper describes the results of an investigation into methods of preprocessing architectural plots to enable them to be processed very quickly via OCR, detecting the region containing the relevant metadata legend and obtaining it in machine-readable form for e.g. automated folding and filenaming applications. We show how a processing pipeline adapted to this type of content can vastly decrease processing time, maintaining acceptable accuracy. Initial results show a reduction in total processing time from 2--3 minutes to around 15 seconds for most documents encountered, with the folding orientation being correctly detected in 78% of cases and the legend region being completely detected in 60% of cases, high enough for the use-case at hand.","PeriodicalId":200469,"journal":{"name":"Proceedings of the 2017 ACM Symposium on Document Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114974957","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
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