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EMAKG: an enriched version of the Microsoft Academic Knowledge Graph ...
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EMAKG: an enriched version of the Microsoft Academic Knowledge Graph ...
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A Corpus-Based Sentence Classifier for Entity–Relationship Modelling
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In: Electronics; Volume 11; Issue 6; Pages: 889 (2022)
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A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining
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In: Information; Volume 13; Issue 5; Pages: 234 (2022)
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Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona) ...
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[R] Source Code der Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona-Source) ...
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[R] Source Code der Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona-Source) ...
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Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona) ...
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Text mining at multiple granularity: leveraging subwords, words, phrases, and sentences
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Multi-National Topics Maps for Parliamentary Debate Analysis
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Assessing English language sentences readability using machine learning models
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In: PeerJ Comput Sci (2022)
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Abstract:
Readability is an active field of research in the late nineteenth century and vigorously persuaded to date. The recent boom in data-driven machine learning has created a viable path forward for readability classification and ranking. The evaluation of text readability is a time-honoured issue with even more relevance in today’s information-rich world. This paper addresses the task of readability assessment for the English language. Given the input sentences, the objective is to predict its level of readability, which corresponds to the level of literacy anticipated from the target readers. This readability aspect plays a crucial role in drafting and comprehending processes of English language learning. Selecting and presenting a suitable collection of sentences for English Language Learners may play a vital role in enhancing their learning curve. In this research, we have used 30,000 English sentences for experimentation. Additionally, they have been annotated into seven different readability levels using Flesch Kincaid. Later, various experiments were conducted using five Machine Learning algorithms, i.e., KNN, SVM, LR, NB, and ANN. The classification models render excellent and stable results. The ANN model obtained an F-score of 0.95% on the test set. The developed model may be used in education setup for tasks such as language learning, assessing the reading and writing abilities of a learner.
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Keyword:
Data Mining and Machine Learning
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URL: https://doi.org/10.7717/peerj-cs.818 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771811/ http://www.ncbi.nlm.nih.gov/pubmed/35111913
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CorpusExplorer ; Eine Software zur korpuspragmatischen Analyse
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An Approach Utilizing Linguistic Features for Fake News Detection
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In: IFIP Advances in Information and Communication Technology ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-03287679 ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.646-658, ⟨10.1007/978-3-030-79150-6_51⟩ (2021)
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La enseñanza de la traducción en contextos de dominio limitado de la L2: analítica visual para la optimización de la planificación y la intervención ...
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La enseñanza de la traducción en contextos de dominio limitado de la L2: analítica visual para la optimización de la planificación y la intervención ...
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CorpusExplorer ... : Eine Software zur korpuspragmatischen Analyse ...
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Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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