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Following is the scientific programme for 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: Deep Transfer Learning: Learning across Languages, Modalities and Tasks
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 16:25 Bjørn Lindi: A Teaser for the NLPL Infrastructure
16:25 16:40 Discussion and Closing