Summary of the paper
| Title | The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms |
|---|---|
| Authors | Ruud Koolen and Emiel Krahmer |
| Abstract | We present the D-TUNA corpus, which is the first semantically annotated corpus of referring expressions in Dutch. Its primary function is to evaluate and improve the performance of REG algorithms. Such algorithms are computational models that automatically generate referring expressions by computing how a specific target can be identified to an addressee by distinguishing it from a set of distractor objects. We performed a large-scale production experiment, in which participants were asked to describe furniture items and people, and provided all descriptions with semantic information regarding the target and the distractor objects. Besides being useful for evaluating REG algorithms, the corpus addresses several other research goals. Firstly, the corpus contains both written and spoken referring expressions uttered in the direction of an addressee, which enables systematic analyses of how modality (text or speech) influences the human production of referring expressions. Secondly, due to its comparability with the English TUNA corpus, our Dutch corpus can be used to explore the differences between Dutch and English speakers regarding the production of referring expressions. |
| Topics | Corpus (creation, annotation, etc.), Natural Language Generation, Evaluation methodologies |
Full paper |
The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms |
Slides |
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| Bibtex | @InProceedings{KOOLEN10.251, author = {Ruud Koolen and Emiel Krahmer}, title = {The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |