Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/22528| Title: | Beyond DICE : measuring the quality of a referring expression |
| Authors: | van Deemter, Kees Gatt, Albert |
| Keywords: | Natural language processing (Computer science) Corpora (Linguistics) Linguistic analysis (Linguistics) Reference (Linguistics) Word (Linguistics) |
| Issue Date: | 2009 |
| Publisher: | Cognitive Science Society |
| Citation: | Van Deemter, K., & Gatt, A. (2009). Beyond DICE: measuring the quality of a referring expression. 31st Annual Meeting of the Cognitive Science Society, Amsterdam. 1-3. |
| Abstract: | This paper discusses ways in which the similarity between the contents of two referring expressions can be measured. Simi- larity metrics of this kind are essential when expressions gen- erated by an algoritm are compared against the ones produced by human speakers, for example as part of an experiment in which referring expressions are elicitated. We discuss argu- ments for and against different metrics, taking our departure from the well-known Dice metric. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/22528 |
| ISBN: | 9781615674077 |
| Appears in Collections: | Scholarly Works - InsLin |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| pre-Dice.pdf | 84.51 kB | Adobe PDF | View/Open |
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