Difference between revisions of "Community/workshop/2019/program"

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(The First NLPL Workshop on Deep Learning for Natural Language Processing)
(The First NLPL Workshop on Deep Learning for Natural Language Processing)
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| 10:00 || 10:30 || '''Coffee Break'''
 
| 10:00 || 10:30 || '''Coffee Break'''
 
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|  ||  || '''Keynote 1''' Chair: TBA
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|  ||  || '''Keynote 1''' Chair: Jörg Tiedemann
 
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| 10:30 || 11:30 || Barbara Plank: <i>Multi-Task and Continual Learning for Multi-Modal NLP</i>
 
| 10:30 || 11:30 || Barbara Plank: <i>Multi-Task and Continual Learning for Multi-Modal NLP</i>

Revision as of 12:15, 9 September 2019

The First NLPL Workshop on Deep Learning for Natural Language Processing

Monday, September 30, 2019
09:00 09:20 Opening
Session 1 Chair: Leon Derczynski
09:20 09:40 Timothee Mickus, Denis Paperno and Matthieu Constant: Mark my Word: A Sequence-to-Sequence Approach to Definition Modeling
09:40 10:00 Robin Kurtz, Daniel Roxbo and Marco Kuhlmann: Improving Semantic Dependency Parsing with Syntactic Features
10:00 10:30 Coffee Break
Keynote 1 Chair: Jörg Tiedemann
10:30 11:30 Barbara Plank: Multi-Task and Continual Learning for Multi-Modal NLP
Session 2 Chair: Sara Stymne
11:30 11:50 Andrey Kutuzov and Elizaveta Kuzmenko: To Lemmatize or Not to Lemmatize: How Word Normalisation Affects ELMo Performance in Word Sense Disambiguation
11:50 12:10 Samuel Rönnqvist, Jenna Kanerva, Tapio Salakoski and Filip Ginter: Is Multilingual BERT Fluent in Language Generation?
12:10 12:30 Vinit Ravishankar, Memduh Gökırmak, Lilja Øvrelid and Erik Velldal: Multilingual Probing of Contextual Sentence Encoders
12:30 14:00 Lunch Break
Keynote 2 Chair: Filip Ginter
14:00 15:00 Jussi Karlgren: High-Dimensional Semantic Spaces and the Squinting Linguist
15:00 15:30 Coffee Break
Session 3 Chair: Lilja Øvrelid
15.30 15:50 Nicolaj Filrup Rasmussen, Kristian Nørgaard Jensen, Marco Placenti and Thai Wang: Cross-Domain Sentiment Classification using Vector Embedded Domain Representations
15:50 16:10 Matthias Damaschk, Tillmann Dönicke and Florian Lux: Multiclass Text Classification on Unbalanced, Sparse and Noisy Data
16:10 16:30 Discussion and Closing