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Bengali text summarization by sentence extraction
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Text summarization is a process to produce an abstract or a summary by selecting significant portion of the information from one or more texts. In an automatic text summarization process, a text is given to the computer and the computer returns a shorter less redundant extract or abstract of the original text(s). Many techniques have been developed for summarizing English text(s). But, a very few attempts have been made for Bengali text summarization. This paper presents a method for Bengali text summarization which extracts important sentences from a Bengali document to produce a summary.
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Cited by 2 Pith papers
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A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text Summarization
A word-pair Gaussian sentence similarity method combined with spectral clustering and TF-IDF is claimed to improve Bengali extractive summarization and to transfer to Hindi, Marathi, and Turkish.
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Abstractive Text Summarization for Bangla Language Using NLP and Machine Learning Approaches
A Bengali abstractive summarizer using LSTM encoder-decoder with attention is described, but no evaluation results are reported.
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