Academic literature on the topic 'Informational Text Features'

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Journal articles on the topic "Informational Text Features"

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Hall-Kenyon, Kendra M., and Barbara Culatta. "Informational Text Content and Structure: Intervention Ideas for Young Children." Perspectives of the ASHA Special Interest Groups 1, no. 1 (2016): 90–98. http://dx.doi.org/10.1044/persp1.sig1.90.

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In recent years there has been an effort to increase the use of informational texts in early childhood settings (Pre-K-2), creating a growing need for effective strategies to teach the unique features of informational texts. This article will share practical ideas for supporting young children's exploration of informational content and initial awareness of basic organizational patterns found in informational texts. Strategies will be shared for highlighting relationships that can occur between or among ideas (e.g., problem/solution, compare/contrast, and sequence), strengthening content learning through oral language associated with multiple texts and experiences, and engaging children's interest in informational content.
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Bell, Hazel K. "Should fiction be indexed? The indexability of text." Indexer: The International Journal of Indexing 18, no. 2 (1992): 83–86. http://dx.doi.org/10.3828/indexer.1992.18.2.5.

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Considers what features of texts make them appropriate or necessary to be supplied with an index, and distinguishes between informational and literary text. Serious fiction is seen as comprising elements of both types of text, and the particular difficulties of indexing it, and the value of indexes to fiction, are considered.
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Nemec-Loise, Jenna. "Everyday Advocacy: Start Anywhere: The Everyday Advocacy Challenge." Children and Libraries 14, no. 2 (2016): 36. http://dx.doi.org/10.5860/cal.14n2.36.

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Great things don’t always have to start at the beginning. Sometimes the most exciting things can start right smack in the middle.For example, think of your favorite informational book for kids. If it’s a great informational book (and I’ll bet it is since you love it), you can open it up to any page, and voilà! You can dig right in because of all the text features available to guide you: Headings, captions, sidebars, photographs, and more. Because of its specialized design, any page in an informational book is an entry point and a prime opportunity for learning.
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Galstyan, Ashot. "Epistemological-Motivational Bases of Literary Non-Fiction Genre as Factors Determining The Linguistic Structure of Text." WISDOM 1, no. 6 (2016): 21. http://dx.doi.org/10.24234/wisdom.v1i6.59.

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This article dwells on epistemological-motivational aspects of the literary non-fiction genre. The general features of memoir literature are examined form the point of view of their epistemological and cognitive aspects. The cognitive and informational specificities of non-fictional narratives are also considered.
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Plevoets, Koen, and Bart Defrancq. "The effect of informational load on disfluencies in interpreting." Translation and Interpreting Studies 11, no. 2 (2016): 202–24. http://dx.doi.org/10.1075/tis.11.2.04ple.

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This article attempts to measure the cognitive or informational load in interpreting by modelling the occurrence rate of the speech disfluency uh(m). In a corpus of 107 interpreted and 240 non-interpreted texts, informational load is operationalized in terms of four measures: delivery rate, lexical density, percentage of numerals, and average sentence length. The occurrence rate of the indicated speech disfluency was modelled using a rate model. Interpreted texts are analyzed based on the interpreter’s output and compared with the input of non-interpreted texts, and measure the effect of source text features. The results demonstrate that interpreters produce significantly more uh(m)s than non-interpreters and that this difference is mainly due to the effect of lexical density on the output side. The main source predictor of uh(m)s in the target text was shown to be the delivery rate of the source text. On a more general level of significance, the second analysis also revealed an increasing effect of the numerals in the source texts and a decreasing effect of the numerals in the target texts.
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Kissel, Brian, Erin Miller, Erik Byker, Amy Good, and Paul Fitchett. "Museums as mentor texts: Preservice teachers analyze informational text structures and features present in a historical museum." Journal of Social Studies Research 43, no. 4 (2019): 343–60. http://dx.doi.org/10.1016/j.jssr.2019.01.001.

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Dahl, Amanda C., Sarah E. Carlson, Maggie Renken, Kathryn S. McCarthy, and Erin Reynolds. "Materials Matter: An Exploration of Text Complexity and Its Effects on Middle School Readers' Comprehension Processing." Language, Speech, and Hearing Services in Schools 52, no. 2 (2021): 702–16. http://dx.doi.org/10.1044/2021_lshss-20-00117.

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Purpose Complex features of science texts present idiosyncratic challenges for middle grade readers, especially in a post–Common Core educational world where students' learning is dependent on understanding informational text. The primary aim of this study was to explore how middle school readers process science texts and whether such comprehension processes differed due to features of complexity in two science texts. Method Thirty 7th grade students read two science texts with different profiles of text complexity in a think-aloud task. Think-aloud protocols were coded for six comprehension processes: connecting inferences, elaborative inferences, evaluative comments, metacognitive comments, and associations. We analyzed the quantity and type of comprehension processes generated across both texts in order to explore how features of text complexity contributed to the comprehension processes students produced while reading. Results Students made significantly more elaborative and connecting inferences when reading a text with deep cohesion, simple syntax, and concrete words, while students made more evaluative comments, paraphrases, and metacognitive comments when reading a text with referential cohesion, complex syntax, and abstract words. Conclusions The current study provides exploratory evidence for features of text complexity affecting the type of comprehension processes middle school readers generate while reading science texts. Accordingly, science classroom texts and materials can be evaluated for word, sentence, and passage features of text complexity in order to encourage deep level comprehension of middle school readers.
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Kuchina, Svetlana. "Electronic literary text: cohesion and coherence aspects." SHS Web of Conferences 55 (2018): 04014. http://dx.doi.org/10.1051/shsconf/20185504014.

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The article deals with the questions of electronic literary text cohesion and coherence specifity. Development of informational and communicational technologies in modern world transformed the text materiality. Nowadays its basic categories relate mostly to the electronic communication features. Electronic text became significant in all spheres of human communication. This factor makes this phenomenon relevant for the research and educational options on the topic. The research materials include several electronic texts (based on different platforms and technologies such as Adobe Flash, Scalar, HTML 5) that demonstrate the use of conceptually valid poly-code elements in their semantic structure. The basic characteristics of the text (printed or electronic) are the categories of cohesion and coherence. The cohesion specifity results from dual (verbal and non-verbal) structure of electronic literary text. The author suggests that the structural aspect of the electronic literary text semantic cohesion is not isolated from the other types of verbal and nonverbal elements correlations because it is not semantic self-contained and complete. The semantic cohesion of electronic literary text poly-code elements is usually represented in both structural and identifying aspects.
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Krak, Iurii, Anatoliy Kulias, Valentina Petrovych, and Vladyslav Kuznetsov. "About Methods for Classifying Hidden Language Concepts in Specialized Texts Involving Pseudoinverse, Clustering and Data Grouping." Cybernetics and Computer Technologies, no. 2 (June 30, 2021): 68–75. http://dx.doi.org/10.34229/2707-451x.21.2.7.

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This paper discusses the problems of analysis of hidden language concepts in scientific texts in the Ukrainian language, using methods of text mining, dimensionality reduction, grouping of features and linear classifiers. A corpus of scientific texts and dictionaries, as well as stop words and affixes, has been formed for processing specialized texts. The resulting texts were analyzed and converted into text frequency-inverse document frequency (TF-IDF) feature representation. In order to process the feature vector, we propose to use methods of dimensionality rteduction of the data, in particular, the algorithm for the synthesis of linear systems and Karunen – Loeve transform and grouping of features: T-stochastic grouping of nearest neighbors (T-SNE). A series of experiments were performed on test examples, in particular, for the determination of informational density in the text and classification by keywords in specialized texts using the method of random samples consensus (RANSAC). A method of classification of hidden language concepts was proposed, making use of clustering methods (K-means). As a result of the experiment, the structure of the classifier of hidden language concepts was obtained in structured texts was obtained, which gained a relatively high recognition accuracy (97 – 99 %) using such linear classification algorithms: decision trees and extreme gradient boost machine. The stability of the proposed method is investigated by using the perturbation of the original data by a variational autoencoder, test runs shown that sparse autocoder reduces the mean square error, but the separation band decreases, which affects the convergence of the classification algorithm. In further research, we propose to apply other methods of analysis of structured texts and ways to improve the separability of specialized texts with similar authorial styles and different topic using a proposed set of parameters. Keywords: text processing, language concepts, pseudoinverse, clusterization, methods of data groupings.
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Gonchar, I. A., and L. D. Samokhvalova. "Features of the informational structure of the memoir story by V. Tokareva “House by Village” (in the ratio of ego-text to genre)." Professor’s Journal. Series: Russian and Literature: studying and teaching 3 (August 20, 2020): 2–14. http://dx.doi.org/10.18572/2687-0339-2020-3-2-14.

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The article analyzes the information structure of the text of the story by V. Tokareva “House behind the village” (2018), projected on the features of building small genres of memoirs of fiction, related to ego-texts. The information structure of the text is identified with the concept of “discourse”, its main elements are speech composition, the nature of the use of language tools that determined the subjectivity of the narrative, the nature of the distribution of information in the text for intentional purposes.
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Dissertations / Theses on the topic "Informational Text Features"

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Neal, Ted A. "The impact of argument-based learning environments on early learners multimodal representations." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5578.

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The purpose of this study was to examine the impact of an immersive argument based learning environment on students’ multimodal competencies. The objective was to study the impact on students learning as they engage in an ABI classroom, centered on the SWH approach, when compared to students in traditional classrooms. Summary writing samples were collected and coded for informational text features which allowed us to understand cohesion with the learners. Additionally, we were able to study these impacts longitudinally, measuring teacher experience and student exposure to this learning environment. Studies of this nature have been done but only with upper grades, never had it been done with early learners, kindergarten through second grade. These summary writing samples were collected and analyzed in two different groups, the first containing 601 samples and the second 760 samples. A factor analysis was performed to examine the internal structure of the features, resulting in the creation of 3 factors: illustrations, text signals and organizers, and graphics. This allowed us to measure acceleration of the learners multimodal skills and the cohesion related to experience, both of classroom and teacher experience. The results of this study have shown that we are able to significantly impact students rate of usage of informational text features by altering the learning environment. We are able to demonstrate significant rates of growth in usage of higher order skills and cohesion amongst science concepts. This is important as we look to find ways to close achievement gaps, increase interest in science, and help students become more effective learners. The results show great promise for immersive ABI as a means to engage young learners in rigorous, valuable learning experiences.
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Oyarce, Guillermo Alfredo. "A Study of Graphically Chosen Features for Representation of TREC Topic-Document Sets." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2456/.

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Document representation is important for computer-based text processing. Good document representations must include at least the most salient concepts of the document. Documents exist in a multidimensional space that difficult the identification of what concepts to include. A current problem is to measure the effectiveness of the different strategies that have been proposed to accomplish this task. As a contribution towards this goal, this dissertation studied the visual inter-document relationship in a dimensionally reduced space. The same treatment was done on full text and on three document representations. Two of the representations were based on the assumption that the salient features in a document set follow the chi-distribution in the whole document set. The third document representation identified features through a novel method. A Coefficient of Variability was calculated by normalizing the Cartesian distance of the discriminating value in the relevant and the non-relevant document subsets. Also, the local dictionary method was used. Cosine similarity values measured the inter-document distance in the information space and formed a matrix to serve as input to the Multi-Dimensional Scale (MDS) procedure. A Precision-Recall procedure was averaged across all treatments to statistically compare them. Treatments were not found to be statistically the same and the null hypotheses were rejected.
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Rogers, Benjamin Charles. "Using Genetic Algorithms for Feature Set Selection in Text Mining." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1389811705.

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Barjasteh, Delforooz Behrooz. "Discourse Features in Balochi of Sistan : (Oral Narratives)." Doctoral thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-129832.

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This work presents a first study of discourse features in Balochi narratives of Sistan. Discourse analysis investigates what are the properties that make for well-formed texts in a language. There are many approaches to discourse analysis and most approaches focus on a particular aspect of text formation. The approach to text linguistics or discourse analysis taken in this work is based on Dooley and Levinsohn’s Analyzing Discourse: A manual of basic concepts (2001). Their methodology has been refined over years of practical use and, among diverse methodologies, they follow a functional and cognitive approach. In this dissertation, Roberts’ (2009) application of Dooley and Levinsohn’s methodology to Persian is followed in the study of our Sistani Balochi text corpus. In chapters 2-7 this approach is applied to Balochi narrative text. Chapter two introduces the reader to the discourse-pragmatic structuring of sentences in BS and chapter three shows how different syntactic devices can distinguish foreground and background information in BS oral texts. In chapter four we study the deixis of time and place and how the concept of proximal and distal deixis applies across a range of deictic elements. Chapter five examines some basic connectives and how they link propositions in the discourse context, and in chapter six reported speech is studied. Chapter seven illustrates how different participants are introduced into a discourse and how their activation status is signalled throughout the discourse. Appendix 1 contains details of the Balochi text-corpus used, and Appendix 2 contains interlinearized versions of ten of the main texts used in the study. A CD with nine audio files and one video file of the ten texts from Appendix 2, plus one extra video file, is also included.
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Levefeldt, Christer. "Evaluation of NETtalk as a means to extract phonetic features from text for synchronization with speech." Thesis, University of Skövde, Department of Computer Science, 1998. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-173.

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<p>The background for this project is a wish to automate synchronization of text and speech. The idea is to present speech through speakers synchronized word-for-word with text appearing on a monitor.</p><p>The solution decided upon is to use artificial neural networks, ANNs, to convert both text and speech into streams made up of sets of phonetic features and then matching these two streams against each other. Several text-to-feature ANN designs based on the NETtalk system are implemented and evaluated. The extraction of phonetic features from speech and the synchronization itself are not implemented, but some assessments are made regarding their possible performances. The performance of a finished system is not possible to determine, but a NETtalk-based ANN is believed to be suitable for such a system using phonetic features for synchronization.</p>
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Islam, Mohammad Zahurul Verfasser], Alexander [Akademischer Betreuer] Mehler, Visvanathan [Akademischer Betreuer] Ramesh, Detlef [Akademischer Betreuer] [Krömker, and Manfred [Akademischer Betreuer] Schmidt-Schauß. "Multilingual text classification using information-theoretic features / Mohammad Zahurul Islam. Betreuer: Alexander Mehler ; Visvanathan Ramesh. Gutachter: Detlef Krömker ; Manfred Schmidt-Schauß." Frankfurt am Main : Univ.-Bibliothek Frankfurt am Main, 2015. http://d-nb.info/1077557639/34.

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Islam, Zahurul [Verfasser], Alexander Akademischer Betreuer] Mehler, Visvanathan [Akademischer Betreuer] Ramesh, Detlef [Akademischer Betreuer] [Krömker, and Manfred [Akademischer Betreuer] Schmidt-Schauß. "Multilingual text classification using information-theoretic features / Mohammad Zahurul Islam. Betreuer: Alexander Mehler ; Visvanathan Ramesh. Gutachter: Detlef Krömker ; Manfred Schmidt-Schauß." Frankfurt am Main : Univ.-Bibliothek Frankfurt am Main, 2015. http://d-nb.info/1077557639/34.

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Koka, Keerthika. "Feature Selection through Visualisation for the Classification of Online Reviews." Thesis, Purdue University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10278441.

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<p> The purpose of this work is to prove that the visualization is at least as powerful as the best automatic feature selection algorithms. This is achieved by applying our visualization technique to the online review classication into fake and genuine reviews. Our technique uses radial chart and the color overlaps to explore the best feature selection through visualization for classication. Every review is treated as a radial translucent red or blue membrane with its dimensions determining the shape of the membrane. This work also shows how the dimension ordering and combination is relevant in the feature selection process. In brief, the whole idea is about giving a structure to each text review based on certain attributes, comparing how different or how similar the structure of the different or same categories are and highlighting the key features that contribute to the classication the most. Colors and saturations aid in the feature selection process. Our visualization technique helps the user get insights into the high dimensional data by providing means to eliminate the worst features right away, pick some best features without statistical aids, understand the behavior of the dimensions in different combinations. This work outlines the different approaches explored, results and analysis. </p><p>
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Schön, Ragnar. "A cross-cultural listener-based study on perceptual features in K-pop." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-178018.

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Recent research within the Music Information Retrieval (MIR) field has shown the relevance of perceptual features for musical signals. The idea is to identify a small set of features that are natural descriptions from a perceptual perspective. The notion of perceptual features is based on the ecological approach to music, that is, focussing on sound events rather than spectral information. Furthermore, MIR research has had an overemphasis on Western music and listeners. This leads to the question of whether the concept of perceptual features is culturally independent or not. This was investigated by having listeners of two distinct cultural backgrounds (Swedish and Chinese) rating a set of eight perceptual features: dissonance, speed, rhythmic complexity, rhythmic clarity, articulation, harmonic complexity, modality and pitch. A culturally specific dataset consisting of Korean pop songs was used to provide the stimuli. This was a subset of a larger set of songs from a previous study selected based on genre and mood annotations to create a diverse dataset. The listener ratings were evaluated by a variety of statistical measures, including cross-correlation and ANOVA. It was found that there was a small but significant difference in the ratings of the perceptual features speed and rhythmic complexity between the two cultural groups.
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Rorissa, Abebe. "Perceived features and similarity of images: An investigation into their relationships and a test of Tversky's contrast model." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4749/.

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The creation, storage, manipulation, and transmission of images have become less costly and more efficient. Consequently, the numbers of images and their users are growing rapidly. This poses challenges to those who organize and provide access to them. One of these challenges is similarity matching. Most current content-based image retrieval (CBIR) systems which can extract only low-level visual features such as color, shape, and texture, use similarity measures based on geometric models of similarity. However, most human similarity judgment data violate the metric axioms of these models. Tversky's (1977) contrast model, which defines similarity as a feature contrast task and equates the degree of similarity of two stimuli to a linear combination of their common and distinctive features, explains human similarity judgments much better than the geometric models. This study tested the contrast model as a conceptual framework to investigate the nature of the relationships between features and similarity of images as perceived by human judges. Data were collected from 150 participants who performed two tasks: an image description and a similarity judgment task. Qualitative methods (content analysis) and quantitative (correlational) methods were used to seek answers to four research questions related to the relationships between common and distinctive features and similarity judgments of images as well as measures of their common and distinctive features. Structural equation modeling, correlation analysis, and regression analysis confirmed the relationships between perceived features and similarity of objects hypothesized by Tversky (1977). Tversky's (1977) contrast model based upon a combination of two methods for measuring common and distinctive features, and two methods for measuring similarity produced statistically significant structural coefficients between the independent latent variables (common and distinctive features) and the dependent latent variable (similarity). This model fit the data well for a sample of 30 (435 pairs of) images and 150 participants (&#967;2 =16.97, df=10, p = .07508, RMSEA= .040, SRMR= .0205, GFI= .990, AGFI= .965). The goodness of fit indices showed the model did not significantly deviate from the actual sample data. This study is the first to test the contrast model in the context of information representation and retrieval. Results of the study are hoped to provide the foundations for future research that will attempt to further test the contrast model and assist designers of image organization and retrieval systems by pointing toward alternative document representations and similarity measures that more closely match human similarity judgments.
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Books on the topic "Informational Text Features"

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Dregalkina, Anna, Irina Kostina, Margarita Shimova, and Olga Schneider. INFLAMMATORY DISEASES OF MAXILLOFACIAL AREA. CURRENT FEATURES OF CLINICAL COURSE, PRINCIPLES OF DIAGNOSIS AND TREATMENT. TIRAZH Publishing House, 2020. http://dx.doi.org/10.18481/978-5-89895-940-1.

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The manual was prepared for dentists, surgeons and maxillofacial surgeons during additional professional training in the advanced training program "Selected Issues of Surgical Dentistry and Maxillofacial Surgery" in a remote form. The manual provides up-to-date information on the prevalence, features of the clinical course, diagnosis, principles of treatment of odontogenic inflammatory diseases that are most often encountered in the practice of a dentist surgeon and maxillofacial surgeon. The manual is illustrated, contains tasks in a test form, situational tasks for self-testing by students of the material studied.&#x0D; The manual is recommended for systematizing and deepening professional knowledge in the diagnosis and treatment of odontogenic inflammatory processes.
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Mishenin, Sergey. Information and analytical work. INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/987953.

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In the textbook the basic concepts concerning the organization and technology of information work of the student-historian are considered. It includes four sections: the first determines the place of the course's problems in the process of historical knowledge; the second tracks the principal features of facts, sources and research, which can potentially be the sphere of historical research; the third introduces the reader to the principles, conceptual apparatus, laws, methods and judgments as means of knowledge.; the fourth introduces the experience of constructing the text of the study, which sums up a certain result of the work done and allows you to " translate the process of learning a new state of relative knowledge."&#x0D; Meets the requirements of the Federal state educational standards of higher education of the last generation.&#x0D; It is intended for undergraduate students studying the discipline "Information and analytical work". It can be useful to persons preparing for admission to the master's degree in the areas of training "History" and "International relations", as well as all those interested in working with documents and other media.
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Kon'kov, Vladimir, and Tat'yana Surikova. Linguistic foundations of business communication. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1062745.

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In the textbook, in section I, the norms and standards of the official business style, genre templates, rules for preparing documents, and the basics of business ethics are set out in a simple, accessible form. It highlights aspects of business communication that, despite their importance, are not reflected in manuals on similar topics. This is information about the problems of adequate understanding of information, working with business terminology, and also gives an assessment of business jargon. Special attention is paid to the forms of information compression in the business text. The theoretical positions are illustrated by relevant examples from various areas of institutional communication. &#x0D; Section II offers a system of exercises for working with the voice as the main tool of business communication. This is the development of good diction and correct reading skills, exercises for mastering the basic rules of Russian orthoepy. Recommendations are given for preparing for a successful oral presentation. The features of phrase construction, the length of the phrase, contact-setting means, the rhetorical potential of the influencing speech, working with special vocabulary and digital information are considered.&#x0D; Meets the requirements of the federal state educational standards of higher education of the latest generation. &#x0D; For undergraduate students studying in management-related specialties.
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M, Mulholland Joyce, ed. Drug calculations: Ratio and proportion problems for clinical practice. 9th ed. Elsevier/Mosby, 2012.

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Craig, Carolyn, and Schyrlet Cameron. Understanding Informational Text Features, Grades 6 - 8. Twain Media, Incorporated Publishers, Mark, 2013.

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Understanding Informational Text Features, Grades 6 - 8. Twain Media, Incorporated Publishers, Mark, 2013.

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Blevins, Wiley, and Alice Boynton. Teaching Informational Text : A Complete Interactive Whiteboard Curriculum: Everything You Need to Target and Teach Key Text Structures and Features to Help Students Meet Higher Standards. Scholastic Teaching Resources (Teaching, 2014.

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Bjartell, Anders, and David Ulmert. Clinical features, assessment, and imaging of prostate cancer. Edited by James W. F. Catto. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199659579.003.0063.

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In contemporary practice, most patients with prostate cancer are diagnosed following a prostate-specific antigen (PSA) test and are asymptomatic at the time of diagnosis. Although serum PSA has a low specificity for prostate cancer, it can be used to single out patients with advanced disease. While most men do not have a palpable tumour at digital rectal examination (DRE), those with palpable or an elevated PSA test require transrectal ultrasonography-guided prostate biopsy in order to make a diagnosis of cancer. Tumours are staged clinically as localized, locally advanced, or metastatic. The urologist and the patient need the correct staging information for decision-making. A combination of several parameters (PSA value, Gleason grade and tumour extent on biopsy, and DRE findings) can be used in a variety of tools to predict the extent of the disease and treatment outcomes.
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Grishman, Ralph. Information Extraction. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0030.

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Information extraction (IE) is the automatic identification of selected types of entities, relations, or events in free text. This article appraises two specific strands of IE — name identification and classification, and event extraction. Conventional treatment of languages pays little attention to proper names, addresses etc. Presentations of language analysis generally look up words in a dictionary and identify them as nouns etc. The incessant presence of names in a text, makes linguistic analysis of the same difficult, in the absence of the names being identified by their types and as linguistic units. Name tagging involves creating, several finite-state patterns, each corresponding to some noun subset. Elements of the patterns would match specific/classes of tokens with particular features. Event extraction typically works by creating a series of regular expressions, customized to capture the relevant events. Enhancement of each expression is corresponded by a relevant, suitable enhancement in the event patterns.
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Allen, Garrick V. Manuscripts of the Book of Revelation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198849056.001.0001.

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The book of Revelation is a disorienting work, full of beasts, heavenly journeys, holy war, the End of the Age, and the New Jerusalem. It is difficult to follow the thread that ties the visions together and to makes sense of the work’s message. This book argues that one way to understand the strange history of Revelation and its challenging texts is to go back to its manuscripts. The texts of the Greek manuscripts of Revelation are the foundation for the words that we encounter when we read Revelation in a modern Bible. But the manuscripts also tell us what other ancient, medieval, and early modern people thought about the work they copied and read. The paratexts of Revelation—the many features of the manuscripts that help readers to navigate and interpret the text—are one important point of evidence. Incorporating such diverse features like the traditional apparatus that accompanies ancient commentaries to the random marginal notes that identify the identity of the beast, paratexts are founts of information on how other mostly anonymous people interpreted Revelation’s problem texts. This book argues that manuscripts are not just important for textual critics or antiquarians, but that they are important for scholars and serious students because they are the essential substance of what the New Testament is. This book illustrates ways that the manuscripts illuminate surprising answers to important critical questions, like the future of the critical edition in the digital age, the bibliography of the canon, and the methods of reception history.
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Book chapters on the topic "Informational Text Features"

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Wang, Dandan, Qingcai Chen, Xiaolong Wang, and Buzhou Tang. "Macro Features Based Text Categorization." In Neural Information Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24958-7_25.

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Ribeiro, Marcelo N., Manoel J. R. Neto, and Ricardo B. C. Prudêncio. "Local Feature Selection in Text Clustering." In Advances in Neuro-Information Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03040-6_6.

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Thenmozhi, D., P. Mirunalini, and Chandrabose Aravindan. "Feature Engineering and Characterization of Classifiers for Consumer Health Information Search." In Text Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73606-8_14.

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Chauhan, Rahul, Jainath Yadav, S. G. Koolagudi, and K. Sreenivasa Rao. "Text Independent Emotion Recognition Using Spectral Features." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22606-9_37.

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Wang, Jiaqi, and Li Zhang. "Discriminant Mutual Information for Text Feature Selection." In Database Systems for Advanced Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73197-7_9.

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Jin, Yu, Rong Chen, and Lizhen Xu. "Text Keyword Extraction Based on Multi-dimensional Features." In Web Information Systems and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60029-7_23.

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Sun, Qiaoyu, and Yue Lu. "Text Location for Scene Image with Inherent Features." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33506-8_64.

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Quoc, Viet Nguyen, Huong Le Thanh, and Tuan Luu Minh. "Abstractive Text Summarization Using LSTMs with Rich Features." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6168-9_3.

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Rajendran, Vaibhavi, and G. Bharadwaja Kumar. "Prosody Detection from Text Using Aggregative Linguistic Features." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8657-1_57.

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Adriani, Mirna, and Framadhan Arnely. "Retrieving Images Using Cross-Language Text and Image Features." In Accessing Multilingual Information Repositories. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11878773_80.

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Conference papers on the topic "Informational Text Features"

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Yukhmina, Elena. "Features Of English Informational Posts As A Form Of Instagram Folklore." In X International Conference “Word, Utterance, Text: Cognitive, Pragmatic and Cultural Aspects”. European Publisher, 2020. http://dx.doi.org/10.15405/epsbs.2020.08.181.

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Simakova, Svetlana. "National Features Of Infographics." In III PMMIS 2019 (Post mass media in the modern informational society) "Journalistic text in a new technological environment: achievements and problems". Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.08.02.10.

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Asmus, Nina. "Linguosemiotic Features Of Twitter Microblogging." In III PMMIS 2019 (Post mass media in the modern informational society) "Journalistic text in a new technological environment: achievements and problems". Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.08.02.77.

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Sterlikov, Dmitry. "Technical And Technological Features Of Modern Videobloging." In III PMMIS 2019 (Post mass media in the modern informational society) "Journalistic text in a new technological environment: achievements and problems". Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.08.02.42.

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Amirov, Valery M. "Promotions Features Of The Internet Newspaper "Znak.Com" In Social Networks." In III PMMIS 2019 (Post mass media in the modern informational society) "Journalistic text in a new technological environment: achievements and problems". Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.08.02.81.

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Zaichenko, Svetlana. "Film Discourse As A Powerful Form Of Media And Its Multi-Semiotic Features." In III PMMIS 2019 (Post mass media in the modern informational society) "Journalistic text in a new technological environment: achievements and problems". Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.08.02.74.

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Pipanmaekaporn, Luepol, and Suwatchai Kamolsantiroj. "Mining Relevant Text Features for Retrieving Web Information." In 2014 IIAI 3rd International Conference on Advanced Applied Informatics (IIAIAAI). IEEE, 2014. http://dx.doi.org/10.1109/iiai-aai.2014.96.

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Alikaev, Rashid Sultanovich. "Features Of Compressed Scientific Text: Increasing Information Density." In International Scientific Congress «KNOWLEDGE, MAN AND CIVILIZATION». European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.05.6.

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Zheng, Wanshan, Zibin Zheng, Hai Wan, and Chuan Chen. "Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/759.

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Representation learning and feature aggregation are usually the two key intermediate steps in natural language processing. Despite deep neural networks have shown strong performance in the text classification task, they are unable to learn adaptive structure features automatically and lack of a method for fully utilizing the extracted features. In this paper, we propose a novel architecture that dynamically routes hierarchical structure feature to attentive capsule, named HAC. Specifically, we first adopt intermediate information of a well-designed deep dilated CNN to form hierarchical structure features. Different levels of structure representations are corresponding to various linguistic units such as word, phrase and clause, respectively. Furthermore, we design a capsule module using dynamic routing and equip it with an attention mechanism. The attentive capsule implements an effective aggregation strategy for feature clustering and selection. Extensive results on eleven benchmark datasets demonstrate that the proposed model obtains competitive performance against several state-of-the-art baselines. Our code is available at https://github.com/zhengwsh/HAC.
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Fu, Junfeng, Liang Liang, Jinkun Zheng, and Xin Zhou. "Text Categorization by Weighted Features." In 2018 5th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2018. http://dx.doi.org/10.1109/icisce.2018.00119.

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Reports on the topic "Informational Text Features"

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Evenson, Kelly R., Ty A. Ridenour, Jacqueline Bagwell, and Robert D. Furberg. Sustaining Physical Activity Following Cardiac Rehabilitation Discharge. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.rr.0043.2102.

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Because many patients reduce exercise following outpatient cardiac rehabilitation (CR), we developed an intervention to assist with the transition and evaluated its feasibility and preliminary efficacy using a one-group pretest–posttest design. Five CR patients were enrolled ~1 month prior to CR discharge and provided an activity tracker. Each week during CR they received a summary of their physical activity and steps. Following CR discharge, participants received an individualized report that included their physical activity and step history, information on specific features of the activity tracker, and encouraging messages from former CR patients for each of the next 6 weeks. Mixed model trajectory analyses were used to test the intervention effect separately for active minutes and steps modeling three study phases: pre-intervention (day activity tracking began to CR discharge), intervention (day following CR discharge to day when final report sent), and maintenance (day following the final report to ~1 month later). Activity tracking was successfully deployed and, with weekly reports following CR, may offset the usual decline in physical activity. When weekly reports ceased, a decline in steps/day occurred. A scaled-up intervention with a more rigorous study design with sufficient sample size can evaluate this approach further.
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