The 8th International Conference “Human Language Technologies - the Baltic Perspective” will take place in Tartu, Estonia, September 27th till 29th, 2018.
We invite you to submit extended abstracts (1000-1500 words) in a free (reasonable) format on substantial, original, and unpublished research in the area of natural language processing and language and speech technologies in general, with a special topic of interest being languages spoken in the Baltics.
Authors of accepted submissions will be asked to write a full paper, which will be published by IOS Press.
The deadline for submitting an extended abstract is May 14 (EEST).
Mark Fishel
Publications chair:
Kadri Muischnek
Local arrangements:
Heiki-Jaan Kaalep
Heili Orav
Kadri Vare
Kadri Vider
Heiki-Jaan Kaalep / University of Tartu
Heili Orav / University of Tartu
Kadri Muischnek / University of Tartu
Mark Fishel / University of Tartu
Tanel Alumäe / Tallinn University of Technology
Alexey A. Karpov / St. Petersburg Institute for
Informatics and Automation
Andrius Utka / Vytautas Magnus University
Arvi Tavast / Qlaara
Barry Haddow / University of Edinburgh
Eduard Barbu / University of Tartu
Einar Meister / Tallinn University of Technology
Francis M. Tyers / Moscow Higher School of Economics
Haldur Õim / University of Tartu
Inguna Skadina / Tilde and University of Latvia
Joakim Nivre / University of Uppsala
Kaarel Kaljurand / Nuance Communications
Kaili Müürisep / University of Tartu
Kairit Sirts / University of Tartu
Krister Linden / University of Helsinki
Maja Popovic / Humboldt University of Berlin
Marcis Pinnis / Tilde
Mare Koit / University of Tartu
Matiss Rikters / Tilde
Michael Arcan / National University of Ireland
Mikko Kurimo / Aalto University
Normunds Gruzitis / University of Latvia
Ottokar Tilk / Tallinn University of Technology
Raivis Skadiņš / Tilde
Samuel Läubli / University of Zurich
Seppo Enarvi / Nuance Communications
Sven Laur / University of Tartu
Tomaž Erjavec / Jožef Stefan Institute
Tommi Pirinen / University of Hamburg
Veronika Vincze / University of Szeged
Yves Scherrer / University of Helsinki
Applications:
Machine translation and multilinguality
Human-computer interaction, dialog systems, question answering
Multimodal language processing, image captioning
Speech recognition, synthesis, translation
Information extraction, natural language understanding
Core methodology:
Machine learning and deep learning for language processing
Reinforcement/unsupervised/semi-supervised/transfer learning in NLP
Distributed representation learning and applications
Linguistic knowledge incorporation in machine learning approaches
Tagging, disambiguation, shallow/deep parsing
Ontologies, lexicons, terminology, knowledge representation
(Semi)automatic evaluation metrics and error analysis
Language resources:
Text/speech/multimodal data, design, evaluation
Resources and methods for lesser-resourced languages
09月28日
2018
09月29日
2018
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