Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/22324
Title: | Attribute selection for referring expression generation : new algorithms and evaluation methods |
Authors: | Gatt, Albert Belz, Anja |
Keywords: | Natural language processing (Computer science) Corpora (Linguistics) Linguistic analysis (Linguistics) Reference (Linguistics) Word (Linguistics) |
Issue Date: | 2008 |
Publisher: | Association for Computational Linguistics. |
Citation: | Gatt, A., & Belz, A. (2008). Attribute selection for referring expression generation: new algorithms and evaluation methods. Fifth International Natural Language Generation Conference, Salt Fork. 50-58. |
Abstract: | Referring expression generation has recently been the subject of the first Shared Task Challenge in NLG. In this paper, we analyse the systems that participated in the Challenge in terms of their algorithmic properties, comparing new techniques to classic ones, based on results from a new human task-performance experiment and from the intrinsic measures that were used in the Challenge. We also consider the relationship between different evaluation methods, showing that extrinsic task-performance experiments and intrinsic evaluation methods yield results that are not significantly correlated. We argue that this highlights the importance of including extrinsic evaluation methods in comparative NLG evaluations. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/22324 |
Appears in Collections: | Scholarly Works - InsLin |
Files in This Item:
File | Description | Size | Format | |
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inlg08-asgre.pdf | 132.06 kB | Adobe PDF | View/Open |
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