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

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(Program)
(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 =
  
== Program ==
 
  
 
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{| class="wikitable"
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|-
 
|-
| 09:40 || 10:00 || Robin Kurtz, Daniel Roxbo and Marco Kuhlmann: Improving Semantic Dependency Parsing with Syntactic Features
+
| 09:40 || 10:00 || Robin Kurtz, Daniel Roxbo and Marco Kuhlmann: <i>Improving Semantic Dependency Parsing with Syntactic Features</i>
 
|-
 
|-
 
| 10:00 || 10:30 || '''Coffee Break'''
 
| 10:00 || 10:30 || '''Coffee Break'''
 
|-
 
|-
| 10:30 || 11:30 || '''Keynote Lecture''' Barbara Plank
+
| 10:30 || 11:30 || '''Keynote 1''' Barbara Plank
 
|-
 
|-
| 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
+
| 11:30 || 11:50 || Andrey Kutuzov and Elizaveta Kuzmenko: <i>To Lemmatize or Not to Lemmatize: How Word Normalisation Affects ELMo Performance in Word Sense Disambiguation</i>
 
|-
 
|-
| 11:50 || 12:10 || Samuel Rönnqvist, Jenna Kanerva, Tapio Salakoski and Filip Ginter: Is Multilingual BERT Fluent in Language Generation?
+
| 11:50 || 12:10 || Samuel Rönnqvist, Jenna Kanerva, Tapio Salakoski and Filip Ginter: <i>Is Multilingual BERT Fluent in Language Generation?</i>
 
|-
 
|-
| 12:10 || 12:30 || Vinit Ravishankar, Memduh Gökırmak, Lilja Øvrelid and Erik Velldal: Multilingual Probing of Contextual Sentence Encoders
+
| 12:10 || 12:30 || Vinit Ravishankar, Memduh Gökırmak, Lilja Øvrelid and Erik Velldal: <i>Multilingual Probing of Contextual Sentence Encoders</i>
 
|-
 
|-
 
| 12:30 || 14:00 || '''Lunch Break'''
 
| 12:30 || 14:00 || '''Lunch Break'''
 
|-
 
|-
| 14:00 || 15:00 || '''Keynote Lecture''' Jussi Karlgren
+
| 14:00 || 15:00 || '''Keynote 2''' Jussi Karlgren
 
|-
 
|-
 
| 15:00 || 15:30 || '''Coffee Break'''
 
| 15:00 || 15:30 || '''Coffee Break'''
 
|-
 
|-
| 15.30 || 15:50 || Nicolaj Filrup Rasmussen, Kristian Nørgaard Jensen, Marco Placenti and Thai Wang: Cross-Domain Sentiment Classification using Vector Embedded Domain Representations  
+
| 15.30 || 15:50 || Nicolaj Filrup Rasmussen, Kristian Nørgaard Jensen, Marco Placenti and Thai Wang: <i>Cross-Domain Sentiment Classification using Vector Embedded Domain Representations</i>
 
|-
 
|-
| 15:50 || 16:10 || Matthias Damaschk, Tillmann Dönicke and Florian Lux: Multiclass Text Classification on Unbalanced, Sparse and Noisy Data
+
| 15:50 || 16:10 || Matthias Damaschk, Tillmann Dönicke and Florian Lux: <i>Multiclass Text Classification on Unbalanced, Sparse and Noisy Data</i>
 
|-
 
|-
| 16:10 || 16:30 || '''Concluding Discussion'''
+
| 16:10 || 16:30 || '''Discussion and Closing'''
 
|}
 
|}

Revision as of 14:38, 7 September 2019

The First NLPL Workshop on Deep Learning for Natural Language Processing

Monday, September 30, 2019
09:00 09:20 Opening
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
10:30 11:30 Keynote 1 Barbara Plank
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
14:00 15:00 Keynote 2 Jussi Karlgren
15:00 15:30 Coffee Break
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