Jette Viethen


2013

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Graphs and Spatial Relations in the Generation of Referring Expressions
Jette Viethen | Margaret Mitchell | Emiel Krahmer
Proceedings of the 14th European Workshop on Natural Language Generation

2011

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Generating Subsequent Reference in Shared Visual Scenes: Computation vs Re-Use
Jette Viethen | Robert Dale | Markus Guhe
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

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Optimising Natural Language Generation Decision Making For Situated Dialogue
Nina Dethlefs | Heriberto Cuayáhuitl | Jette Viethen
Proceedings of the SIGDIAL 2011 Conference

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GRE3D7: A Corpus of Distinguishing Descriptions for Objects in Visual Scenes
Jette Viethen | Robert Dale
Proceedings of the UCNLG+Eval: Language Generation and Evaluation Workshop

2010

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Dialogue Reference in a Visual Domain
Jette Viethen | Simon Zwarts | Robert Dale | Markus Guhe
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

A central purpose of referring expressions is to distinguish intended referents from other entities that are in the context; but how is this context determined? This paper draws a distinction between discourse context ―other entities that have been mentioned in the dialogue― and visual context ―visually available objects near the intended referent. It explores how these two different aspects of context have an impact on subsequent reference in a dialogic situation where the speakers share both discourse and visual context. In addition we take into account the impact of the reference history ―forms of reference used previously in the discourse― on forming what have been called conceptual pacts. By comparing the output of different parameter settings in our model to a data set of human-produced referring expressions, we determine that an approach to subsequent reference based on conceptual pacts provides a better explanation of our data than previously proposed algorithmic approaches which compute a new distinguishing description for the intended referent every time it is mentioned.

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Speaker-Dependent Variation in Content Selection for Referring Expression Generation
Jette Viethen | Robert Dale
Proceedings of the Australasian Language Technology Association Workshop 2010

2009

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Referring Expression Generation through Attribute-Based Heuristics
Robert Dale | Jette Viethen
Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)

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Realizing the Costs: Template-Based Surface Realisation in the GRAPH Approach to Referring Expression Generation
Ivo Brugman | Mariët Theune | Emiel Krahmer | Jette Viethen
Proceedings of the 12th European Workshop on Natural Language Generation (ENLG 2009)

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The GREC Main Subject Reference Generation Challenge 2009: Overview and Evaluation Results
Anja Belz | Eric Kow | Jette Viethen | Albert Gatt
Proceedings of the 2009 Workshop on Language Generation and Summarisation (UCNLG+Sum 2009)

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The GREC Named Entity Generation Challenge 2009: Overview and Evaluation Results
Anja Belz | Eric Kow | Jette Viethen
Proceedings of the 2009 Workshop on Language Generation and Summarisation (UCNLG+Sum 2009)

2008

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Generating Relational References: What Makes a Difference?
Jette Viethen | Robert Dale
Proceedings of the Australasian Language Technology Association Workshop 2008

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Controlling Redundancy in Referring Expressions
Jette Viethen | Robert Dale | Emiel Krahmer | Mariët Theune | Pascal Touset
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

Krahmer et al.’s (2003) graph-based framework provides an elegant and flexible approach to the generation of referring expressions. In this paper, we present the first reported study that systematically investigates how to tune the parameters of the graph-based framework on the basis of a corpus of human-generated descriptions. We focus in particular on replicating the redundant nature of human referring expressions, whereby properties not strictly necessary for identifying a referent are nonetheless included in descriptions. We show how statistics derived from the corpus data can be integrated to boost the framework’s performance over a non-stochastic baseline.

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The Use of Spatial Relations in Referring Expression Generation
Jette Viethen | Robert Dale
Proceedings of the Fifth International Natural Language Generation Conference

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The GREC Challenge 2008: Overview and Evaluation Results
Anja Belz | Eric Kow | Jette Viethen | Albert Gatt
Proceedings of the Fifth International Natural Language Generation Conference

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GRAPH: The Costs of Redundancy in Referring Expressions
Emiel Krahmer | Mariët Theune | Jette Viethen | Iris Hendrickx
Proceedings of the Fifth International Natural Language Generation Conference

2007

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Evaluation in Natural Language Generation: Lessons from Referring Expression Generation
Jette Viethen | Robert Dale
Traitement Automatique des Langues, Volume 48, Numéro 1 : Principes de l'évaluation en Traitement Automatique des Langues [Principles of Evaluation in Natural Language Processing]

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The attribute selection for generation of referring expressions challenge. [Introduction to Shared Task Evaluation Challenge.]
Anja Belz | Albert Gatt | Ehud Reiter | Jette Viethen
Proceedings of the Workshop on Using corpora for natural language generation

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Cost-based attribute selection for GRE (GRAPH-SC/GRAPH-FP)
Mariët Theune | Pascal Touset | Jette Viethen | Emiel Krahmer
Proceedings of the Workshop on Using corpora for natural language generation

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Capturing Acceptable Variation in Distinguishing Descriptions
Jette Viethen | Robert Dale
Proceedings of the Eleventh European Workshop on Natural Language Generation (ENLG 07)

2006

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Towards the Evaluation of Referring Expression Generation
Jette Viethen | Robert Dale
Proceedings of the Australasian Language Technology Workshop 2006

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Algorithms for Generating Referring Expressions: Do They Do What People Do?
Jette Viethen | Robert Dale
Proceedings of the Fourth International Natural Language Generation Conference