Abstract
Spreadsheets can be used for a variety of tasks including inventory management. Most spreadsheet applications provide the ability to extract additional information from this data, through techniques such as filtering and PivotTables. These techniques however can be quite complex and time consuming, especially for novice spreadsheet users. We believe that these issues can be addressed through the use of Natural Language Processing, a technology that has already demonstrated its effectiveness in similar domains, such as databases and chart generation.
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References
Kato, T., Matsushita, M., Maeda, E.: Answering it with charts - Dialogue in natural language and charts. In: The 19th international conference on Computational linguistics (2002) (presented at)
Zelle, J.M., Mooney, R.J.: Learning to Parse Database Queries Using Inductive Logic Programming. In: The Thirteenth National Conference on Artificial Intelligence AAAI (1996) (presented at)
Woodley, A., Tannier, X., Hassler, M., Geva, S.: Natural Language Processing and XML Retrieval. In: The Australasian Language Technology Workshop, ALTW (2006) (presented at)
Zelle, J.M.: Using Inductive Logic Programming to Automate the Construction of Natural Language Parsers. In: Department of Computer Sciences, PhD. University of Texas, Austin (1995)
Bishop, B., McDaid, K.: Unobtrusive Data Acquisition for Spreadsheet Research. In: The IEEE Symposium on Visual Languages and Human-Centric Computing, VL\HCC 2008 (2008) (presented at)
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Flood, D. (2010). Natural Language Processing for Spreadsheet Information Retrieval. In: Horacek, H., Métais, E., Muñoz, R., Wolska, M. (eds) Natural Language Processing and Information Systems. NLDB 2009. Lecture Notes in Computer Science, vol 5723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12550-8_32
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DOI: https://doi.org/10.1007/978-3-642-12550-8_32
Publisher Name: Springer, Berlin, Heidelberg
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