Power, Richard and Williams, Sandra
(2012).
![[img]](http://oro.open.ac.uk/style/images/fileicons/application_pdf.png)
|
PDF (Version of Record)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (228kB) |
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1162/COLI_a_00086 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
We describe a computational model for planning phrases like “more than a quarter” and “25.9 per cent” which describe proportions at different levels of precision. The model lays out the key choices in planning a numerical description, using formal definitions of mathematical form (e.g., the distinction between fractions and percentages) and roundness adapted from earlier studies. The task is modeled as a constraint satisfaction problem, with solutions subsequently ranked by preferences (e.g., for roundness). Detailed constraints are based on a corpus of numerical expressions collected in the NUMGEN project, and evaluated through empirical studies in which subjects were asked to produce (or complete) numerical expressions in specified contexts.
| Item Type: | Article | ||||||
|---|---|---|---|---|---|---|---|
| Copyright Holders: | 2012 Association for Computational Linguistics | ||||||
| ISSN: | 1530-9312 | ||||||
| Project Funding Details: |
|
||||||
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
||||||
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) | ||||||
| Related URLs: | |||||||
| Item ID: | 33170 | ||||||
| Depositing User: | Sandra Williams | ||||||
| Date Deposited: | 09 Mar 2012 11:03 | ||||||
| Last Modified: | 05 Oct 2016 21:04 | ||||||
| URI: | http://oro.open.ac.uk/id/eprint/33170 | ||||||
| Share this page: |     |
Altmetrics | Scopus Citations |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.