scholarly journals ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction

Author(s):  
Chen-Yu Lee ◽  
Chun-Liang Li ◽  
Chu Wang ◽  
Renshen Wang ◽  
Yasuhisa Fujii ◽  
...  
2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.


2020 ◽  
Author(s):  
Kshema Jose

<p>This study observed how two hypertext features – absence of a linear or author-specified order and availability of multiple reading aids – influence reading comprehension processes of ESL readers. Studies with native or highly proficient users of English, have suggested that readers reading hypertexts comprehend better than readers reading print texts. This was attributed to (i) presence of hyperlinks that provide access to additional information that can potentially help overcome comprehension obstacles and (ii) the absence of an author-imposed reading order that helps readers exercise cognitive flexibility. An aspect that remains largely un-researched is how well readers with low language competence comprehend hypertexts. This research sought to initiate research in the area by exploring the question: Do all ESL readers comprehend a hypertext better than a print text?</p> <p>Keeping in mind the fact that a majority of readers reading online texts in English can be hindered by three types of comprehension deficits – low levels of language proficiency, non-availability of prior knowledge, or both – this study investigated how two characteristic features of hypertext, viz., linking to additional information and non-linearity in presentation of information, affect reading comprehension of ESL readers. </p> <p>Two types of texts that occur in the electronic medium – linear or pre-structured texts and non-linear or self-navigating texts, were used in this study. Based on a comparison of subjects’ comprehension outcomes and free recalls, text factors and reader factors that can influence hypertext reading comprehension of ESL readers are identified. </p> Contradictory to what many researchers believe, results indicate that self-navigating hypertexts might not promote deep comprehension in all ESL readers.


2002 ◽  
Author(s):  
Lois C. Childs ◽  
Carl E. Weir ◽  
Robin McEntire ◽  
Paula Matuszek ◽  
James Butler ◽  
...  

2020 ◽  
Author(s):  
Nicholas Parsons ◽  
Fiore D'Aprano ◽  
Matthew Hughes ◽  
Annie Parish ◽  
Nasia Outsikas

Abstract Background, Aims and MethodsAdults with ASD have difficulty in learning vocational and social skills, which often translates into low employment rates. Video self-modelling (VSM) is an effective educational technique for low functioning individuals with Autism Spectrum Disorder, with the ability to teach challenging vocational skills as well as basic social skills. Procedures and Outcomes The present study examined the use of video self-modelling to teach these skills to a 22-year-old adult with Autism Spectrum Disorder. Target behaviours categories included (1) reading order forms, (2) transporting goods, and (3) engaging with customers. A multiple baseline design was used to evaluate the effectiveness of the videos in teaching these target behaviours. The dependent variables were the percentage of tasks completed correctly, and quantitative prompt dependency using a least to most prompting strategy. Results and Conclusions Results showed that VSM modestly improved reading order forms and transporting goods, and moderately improved engagement with customers. ImplicationsThis intervention resulted in the successful employment of an adult with ASD in a job that he specifically desired, whilst teaching him skills he specifically struggled with. As such, VSM should be considered for others wanting to learn combined social and vocational skills.


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