Community/workshop/2019/program

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: Overview of the NLPL Infrastructure	16:25	16:40	Discussion and Closing