Abstract
This study aims to measure the variation between writers in their choices of referential form by collecting and analysing a new and publicly available corpus of referring expressions. The corpus is composed of referring expressions produced by different participants in identical situations. Results, measured in terms of normalized entropy, reveal substantial individual variation. We discuss the problems and prospects of this finding for automatic text generation applications.
Original language | English |
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Title of host publication | Proceedings of NAACL-HLT 2016 |
Place of Publication | San Diego, California |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 423-427 |
Number of pages | 5 |
Publication status | Published - Jun 2016 |
Event | North American Chapter of the Association for Computational Linguistics: Human Language Technologies - San Diego, United States Duration: 12 Jun 2016 → 17 Jun 2016 Conference number: 15 http://naacl.org/naacl-hlt-2016/index.html |
Conference
Conference | North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
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Abbreviated title | NAACL HLT 2016 |
Country/Territory | United States |
City | San Diego |
Period | 12/06/16 → 17/06/16 |
Internet address |