Generation of Referring Expressions: Assessing the Incremental Algorithm
@article{Deemter2012GenerationOR, title={Generation of Referring Expressions: Assessing the Incremental Algorithm}, author={Kees van Deemter and Albert Gatt and I. V. D. Sluis and R. Power}, journal={Cognitive science}, year={2012}, volume={36 5}, pages={ 799-836 } }
A substantial amount of recent work in natural language generation has focused on the generation of ''one-shot'' referring expressions whose only aim is to identify a target referent. Dale and Reiter's Incremental Algorithm (IA) is often thought to be the best algorithm for maximizing the similarity to referring expressions produced by people. We test this hypothesis by eliciting referring expressions from human subjects and computing the similarity between the expressions elicited and the ones… Expand
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References
SHOWING 1-10 OF 98 REFERENCES
Evaluating Algorithms for the Generation of Referring Expressions: Going beyond Toy Domains.
- Computer Science
- 2007
- 27
- PDF
Generating Referring Expressions: Making Referents Easy to Identify
- Computer Science
- Computational Linguistics
- 2007
- 82
- PDF
Computational Interpretations of the Gricean Maxims in the Generation of Referring Expressions
- Computer Science
- Cogn. Sci.
- 1995
- 790
- Highly Influential
- PDF
Evaluating algorithms for the Generation of Referring Expressions using a balanced corpus
- Computer Science
- ENLG
- 2007
- 108
- PDF
Influences on Attribute Selection in Redescriptions: A Corpus Study
- Computer Science
- 2000
- 11
- Highly Influential
Learning Content Selection Rules for Generating Object Descriptions in Dialogue
- Computer Science
- J. Artif. Intell. Res.
- 2005
- 95
- PDF