Abstract
Finding and correcting incorrect spelling from text documents always plays an important role particularly in information retrieval. There are many approaches to tackle spell checking problem. Here, one spell checking and correcting method is proposed particularly for query-based text summarization purpose. Our method mainly works on non-word errors. Query-based text summarization finds the summary based on the given query. This method refines the query by replacing each misspelled word with exact match of that word with the dictionary. We use TAC 2009 dataset for our experiments and validation purpose and obtain encouraging results.
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Rahman, N., Borah, B. (2018). A Spell Correction Method for Query-Based Text Summarization. In: Mandal, J., Saha, G., Kandar, D., Maji, A. (eds) Proceedings of the International Conference on Computing and Communication Systems. Lecture Notes in Networks and Systems, vol 24. Springer, Singapore. https://doi.org/10.1007/978-981-10-6890-4_32
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DOI: https://doi.org/10.1007/978-981-10-6890-4_32
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