Dominique Estival

Also published as: D Estival, D. Estival


2018

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Active learning for deep semantic parsing
Long Duong | Hadi Afshar | Dominique Estival | Glen Pink | Philip Cohen | Mark Johnson
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Semantic parsing requires training data that is expensive and slow to collect. We apply active learning to both traditional and “overnight” data collection approaches. We show that it is possible to obtain good training hyperparameters from seed data which is only a small fraction of the full dataset. We show that uncertainty sampling based on least confidence score is competitive in traditional data collection but not applicable for overnight collection. We propose several active learning strategies for overnight data collection and show that different example selection strategies per domain perform best.

2017

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Multilingual Semantic Parsing And Code-Switching
Long Duong | Hadi Afshar | Dominique Estival | Glen Pink | Philip Cohen | Mark Johnson
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)

Extending semantic parsing systems to new domains and languages is a highly expensive, time-consuming process, so making effective use of existing resources is critical. In this paper, we describe a transfer learning method using crosslingual word embeddings in a sequence-to-sequence model. On the NLmaps corpus, our approach achieves state-of-the-art accuracy of 85.7% for English. Most importantly, we observed a consistent improvement for German compared with several baseline domain adaptation techniques. As a by-product of this approach, our models that are trained on a combination of English and German utterances perform reasonably well on code-switching utterances which contain a mixture of English and German, even though the training data does not contain any such. As far as we know, this is the first study of code-switching in semantic parsing. We manually constructed the set of code-switching test utterances for the NLmaps corpus and achieve 78.3% accuracy on this dataset.

2014

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Alveo, a Human Communication Science Virtual Laboratory
Dominique Estival | Steve Cassidy
Proceedings of the Australasian Language Technology Association Workshop 2014

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Integrating UIMA with Alveo, a human communication science virtual laboratory
Dominique Estival | Steve Cassidy | Karin Verspoor | Andrew MacKinlay | Denis Burnham
Proceedings of the Workshop on Open Infrastructures and Analysis Frameworks for HLT

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AusTalk: an audio-visual corpus of Australian English
Dominique Estival | Steve Cassidy | Felicity Cox | Denis Burnham
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

This paper describes the AusTalk corpus, which was designed and created through the Big ASC, a collaborative project with the two main goals of providing a standardised infrastructure for audio-visual recordings in Australia and of producing a large audio-visual corpus of Australian English, with 3 hours of AV recordings for 1000 speakers. We first present the overall project, then describe the corpus itself and its components, the strict data collection protocol with high levels of standardisation and automation, and the processes put in place for quality control. We also discuss the annotation phase of the project, along with its goals and challenges; a major contribution of the project has been to explore procedures for automating annotations and we present our solutions. We conclude with the current status of the corpus and with some examples of research already conducted with this new resource. AusTalk is one of the corpora included in the HCS vLab, which is briefly sketched in the conclusion.

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The Alveo Virtual Laboratory: A Web Based Repository API
Steve Cassidy | Dominique Estival | Timothy Jones | Denis Burnham | Jared Burghold
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

The Human Communication Science Virtual Laboratory (HCS vLab) is an eResearch project funded under the Australian Government NeCTAR program to build a platform for collaborative eResearch around data representing human communication and the tools that researchers use in their analysis. The human communication science field is broadly defined to encompass the study of language from various perspectives but also includes research on music and various other forms of human expression. This paper outlines the core architecture of the HCS vLab and in particular, highlights the web based API that provides access to data and tools to authenticated users.

2013

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Learning from OzCLO, the Australian Computational and Linguistics Olympiad
Dominique Estival | John Henderson | Mary Laughren | Diego Mollá | Cathy Bow | Rachel Nordlinger | Verna Rieschild | Andrea C. Schalley | Alexander W. Stanley | Colette Mrowa-Hopkins
Proceedings of the Fourth Workshop on Teaching NLP and CL

2011

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OzCLO: The Australian Computational Linguistic Olympiad
Dominique Estival
Proceedings of the Australasian Language Technology Association Workshop 2011

2007

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TAT: An Author Profiling Tool with Application to Arabic Emails
Dominique Estival | Tanja Gaustad | Son Bao Pham | Will Radford | Ben Hutchinson
Proceedings of the Australasian Language Technology Workshop 2007

2005

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The Language Translation Interface
Dominique Estival
Proceedings of the 10th EAMT Conference: Practical applications of machine translation

2004

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Intelligent Multi Media Presentation of information in a semi-immersive Command and Control environment
Cecile Paris | Nathalie Colineau | Dominique Estival
Proceedings of the Australasian Language Technology Workshop 2004

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Towards Ontology-based Natural Language Processing
Dominique Estival | Chris Nowak | Andrew Zschorn
Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology

2003

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Spoken Dialogue for Virtual Advisers in a semi-immersive Command and Control environment
Dominique Estival | Michael Broughton | Andrew Zschorn | Elizabeth Pronger
Proceedings of the Fourth SIGdial Workshop of Discourse and Dialogue

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Document classification in structured military messages
Oliver Carr | Dominique Estival
Proceedings of the Australasian Language Technology Workshop 2003

1998

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Integration of Speech and Vision in a small mobile robot
Dominique Estival
Content Visualization and Intermedia Representations (CVIR’98)

1996

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TSNLP - Test Suites for Natural Language Processing
Sabine Lehmann | Stephan Oepen | Sylvie Regnier-Prost | Klaus Netter | Veronika Lux | Judith Klein | Kirsten Falkedal | Frederik Fouvry | Dominique Estival | Eva Dauphin | Herve Compagnion | Judith Baur | Lorna Balkan | Doug Arnold
COLING 1996 Volume 2: The 16th International Conference on Computational Linguistics

1994

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Book Reviews: Grammaires d’unification a traits et conto1e des infinitives en francais
Dominique Estival
Computational Linguistics, Volume 20, Number 4, December 1994

1992

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First Results of a French Linguistic Development Environment
L. Bouchard | L. Emirkanian | D. Estival | C. Fay-Varnier | C. Fouquere | G. Prigent | P. Zweigenbaum
COLING 1992 Volume 4: The 15th International Conference on Computational Linguistics

1991

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A Language for the Statement of Binary Relations over Feature Structures
Graham Russell | Afzal Ballim | Dominique Estival | Susan Warwick-Armstrong
Fifth Conference of the European Chapter of the Association for Computational Linguistics

1990

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Generating French with a Reversible Unification Grammar
Dominique Estival
COLING 1990 Volume 2: Papers presented to the 13th International Conference on Computational Linguistics

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ELU: an Environment for Machine Translation
D Estival
COLING 1990 Volume 3: Papers presented to the 13th International Conference on Computational Linguistics

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Book Reviews: Machine Translation: How Far Can It Go?
Dominique Estival
Computational Linguistics, Volume 16, Number 3, September 1990