Abstract
Approaches to plural reference generation emphasise descriptive brevity, but often lack empirical backing. This paper describes a corpus-based study of plural descriptions, and proposes a psycholinguisticallymotivated algorithm for plural reference generation. The descriptive strategy is based on partitioning and incorporates corpusderived heuristics. An exhaustive evaluation shows that the output closely matches human data.
Original language | English |
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Title of host publication | Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP-CoNLL |
Number of pages | 10 |
Publication status | Published - 2007 |
Event | Conference on Empirical Methods in Natural Language Processing (EMNLP-CoNLL 2007) - Prague, Czech Republic Duration: 28 Jun 2007 → 30 Jun 2007 |
Conference
Conference | Conference on Empirical Methods in Natural Language Processing (EMNLP-CoNLL 2007) |
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Country/Territory | Czech Republic |
City | Prague |
Period | 28/06/07 → 30/06/07 |
Keywords
- natural language generation
- generation of referring expressions
- plurals
- partitioning