Predicting the resolution of referring expressions from user behavior

Nikos Engonopoulos, Martin Villalba, Ivan Titov, and Alexander Koller

In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Short Papers, Seattle, 2013.

We present a statistical model for predicting how the user of an interactive, situated NLP system resolved a referring expression. The model makes an initial prediction based on the meaning of the utterance, and revises it continuously based on the user's behavior. The combined model outperforms its components in predicting reference resolution and when to give feedback.

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BibTeX Entry
@InProceedings{refexp-13,
	author = {Nikos Engonopoulos and Martin Villalba and Ivan Titov 
		and Alexander Koller},
	title = {Predicting the resolution of referring expressions from 
		user behavior},
	year = 2013,
	booktitle = {Proceedings of the Conference on Empirical Methods 
		in Natural Language Processing (EMNLP), Short Papers},
	address = {Seattle}
}

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