Type

Conference Proceedings

Authors

Fergal Mc Caffery
Kevin McDaid
Derek Flood

Subjects

Computer Science

Topics
natural language natural language processing computer science information retrieval statistical analysis software tool processing techniques financial modelling

NLP-SIR: A Natural Language Approach for Spreadsheet Information Retrieval (2001)

Abstract Spreadsheets are a ubiquitous software tool, used for a wide variety of tasks such as financial modelling, statistical analysis and inventory management. Extracting meaningful information from such data can be a difficult task, especially for novice users unfamiliar with the advanced data processing features of many spreadsheet applications. We believe that through the use of Natural Language Processing (NLP) techniques this task can be made considerably easier. This paper introduces NLP-SIR, a Natural language interface for spreadsheet information retrieval. The results of a recent evaluation which compared NLP-SIR with existing Information retrieval tools are also outlined. This evaluation has shown that NLP-SIR is a more effective method of spreadsheet information retrieval.
Collections Ireland -> Dundalk IT -> Subject = Computer Science
Ireland -> Dundalk IT -> Open Access DRIVERset
Ireland -> Dundalk IT -> Status = Published
Ireland -> Dundalk IT -> Type = Conference or Workshop Item

Full list of authors on original publication

Fergal Mc Caffery, Kevin McDaid, Derek Flood

Experts in our system

1
Fergal Mc Caffery
University of Limerick
Total Publications: 121
 
2
Derek Flood
Dundalk IT
Total Publications: 30