BEATnIk: an algorithm to Automatic generation of educational description of movies
Author(s) -
Vinicius Woloszyn,
Guilherme Medeiros Machado,
José Palazzo Moreira de Oliveira,
Leandro Krug Wives,
Horacio Saggion
Publication year - 2017
Publication title -
anais do ... simpósio brasileiro de informática na educação/anais do simpósio brasileiro de informática na educação
Language(s) - English
Resource type - Conference proceedings
eISSN - 2316-6533
pISSN - 2176-4301
DOI - 10.5753/cbie.sbie.2017.1377
Subject(s) - automatic summarization , computer science , subject (documents) , plan (archaeology) , class (philosophy) , recall , curriculum , baseline (sea) , simple (philosophy) , lesson plan , precision and recall , multimedia , artificial intelligence , information retrieval , mathematics education , world wide web , pedagogy , psychology , philosophy , oceanography , archaeology , epistemology , cognitive psychology , history , geology
Teachers have increasingly employed different methods to enrich the learning of a subject in class, drive other assignments, and meet curriculum standards. One of such methods is the use of movies as an alternative educational experience to support class discussions. In this sense, websites such as TeachWithMovies 1, arise as a valuable support to the creation of lesson plans. In this website, each movie is described as a lesson plan targeting the learning of a subject. However, the creation of such lesson plan or even a simple educational description of the movie can demand much work and time, since the text describing the teaching plan must consider educational aspects of the movie. In this work, we propose BEATnIk (Biased Educational Automatic Text summarIzation), which is an unsupervised algorithm to automatically generate movies’ summaries. Such algorithm favors educational aspects from the text to generate a biased educational summary. The experiments conducted show that our approach statistically outperforms a baseline in precision, recall, and f-score.
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