Community/workshop/2019/program
From Nordic Language Processing Laboratory
Following is the scientific programme for
The First NLPL Workshop on Deep Learning for Natural Language Processing
Monday, September 30, 2019
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09:00 |
09:20 |
Opening
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Session 1 Chair: Leon Derczynski
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09:20 |
09:40 |
Timothee Mickus, Denis Paperno and Matthieu Constant: Mark my Word: A Sequence-to-Sequence Approach to Definition Modeling
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09:40 |
10:00 |
Robin Kurtz, Daniel Roxbo and Marco Kuhlmann: Improving Semantic Dependency Parsing with Syntactic Features
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10:00 |
10:30 |
Coffee Break
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Keynote 1 Chair: Jörg Tiedemann
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10:30 |
11:30 |
Barbara Plank: Deep Transfer Learning: Learning across Languages, Modalities and Tasks
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Session 2 Chair: Sara Stymne
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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
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11:50 |
12:10 |
Samuel Rönnqvist, Jenna Kanerva, Tapio Salakoski and Filip Ginter: Is Multilingual BERT Fluent in Language Generation?
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12:10 |
12:30 |
Vinit Ravishankar, Memduh Gökırmak, Lilja Øvrelid and Erik Velldal: Multilingual Probing of Contextual Sentence Encoders
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12:30 |
14:00 |
Lunch Break
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Keynote 2 Chair: Filip Ginter
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14:00 |
15:00 |
Jussi Karlgren: High-Dimensional Semantic Spaces and the Squinting Linguist
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15:00 |
15:30 |
Coffee Break
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Session 3 Chair: Lilja Øvrelid
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15.30 |
15:50 |
Nicolaj Filrup Rasmussen, Kristian Nørgaard Jensen, Marco Placenti and Thai Wang: Cross-Domain Sentiment Classification using Vector Embedded Domain Representations
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15:50 |
16:10 |
Matthias Damaschk, Tillmann Dönicke and Florian Lux: Multiclass Text Classification on Unbalanced, Sparse and Noisy Data
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16:10 |
16:25 |
Bjørn Lindi: A Teaser for the NLPL Infrastructure
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16:25 |
16:40 |
Discussion and Closing
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