![]() ![]() The purpose of the study was to explore students' selection of information strategies in a task-oriented reading situation. Selecting Information to Answer Questions: Strategic Individual Differences when Searching TextsĬerdan, Raquel Gilabert, Ramiro Vidal-Abarca, Eduardo Our investigation leads us to extend the automatic knowledge extraction process of cTAKES for biomedical research domain by improving the ontology guided information extraction cTAKES was originally designed specially to extract information from clinical medical records. Shangri-Docsutilizes Apache cTAKES (clinical Text Analysis and Knowledge Extraction System) and Unified Medical Language System (UMLS) to automatically identify and highlight terms and concepts, such as specific symptoms, diseases, drugs, and anatomical sites, mentioned in the text. Wikipedia, PubMed) and private cataloged databases simultaneously. PDF, Words, PPT, text, etc.) and to exploit the linked nature of the Web and personal content by performing searches on content from public sites (e.g. Shangri-Docsalso provides the ability to evaluate a wide variety of document formats (e.g. Thus, we propose a web-based document explorer, which we called Shangri-Docs, which combines a document reader with automatic concept extraction and highlighting of relevant terms. Our goal is to provide researchers with a simple tool to aid them in finding, reading, and exploring documents. Such reader tools are typically desktop applications and are limited to specific platforms. In recent years, there has been an increased interest in automatic biomedical concept extraction and intelligent PDF reader tools with the ability to search on content and find related articles. The ability to employ such technologies to aid researchers in coping with information overload is greatly desirable. Utilizing text mining can help us to mine information and extract relevant knowledge from a plethora of biomedical text. Vast amounts of biomedical information are offered in unstructured text form through scientific publications and R&D reports. We describe our work on building a web-browser based document reader with built-in exploration tool and automatic concept extraction of medical entities for biomedical text. Readers' responses to aesthetic texts were measured through a series of biometric…ĭocument Exploration and Automatic Knowledge Extraction for Unstructured Biomedical TextĬhu, S. The aim of this study was to explore the aesthetic impact of a literary text on the human mind and to extend the knowledge on how and when the information from a book enters the human brain, and if and when it starts to be processed and, possibly, memorized. The ability to do so accurately and reliably is a prerequisite for teachers to be able to teach students how to recognize and use text structures to assist them in comprehending…Īesthetical Information Impact of a Literary Text. There has been no research reported about if or how well primary grade teachers can identify information text structures in children's authentic informational texts. The Informational Text Structure Survey (ITS): An Exploration of Primary Grade Teachers' Sensitivity to Text Structure in Young Children's Informational Texts Five genre groups in information organization were distinguished. ![]() Method: The research employed text genre socio-functional analysis. Introduction: Text genres used by so-called information organizers in the processes of information organization in information systems were explored in this research. Discoveries included that students' conversations and written responses were closely connected to text and that students created multimodal responses. ![]() Each literature circle group read and responded to informational text. "Really," "Not Possible," "I Can't Believe It": Exploring Informational Text in Literature CirclesĮRIC Educational Resources Information Centerįifth graders' interpretations of nonfiction or informational text were explored. ![]()
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