WNNLP 2020 The 2nd IN5550 Teaching Workshop on Neural Natural - PowerPoint PPT Presentation

– WNNLP 2020 – The 2nd IN5550 Teaching Workshop on Neural Natural Language Processing University of Oslo May 27 2020

WNNLP 2020 at a glance ◮ 15 accepted papers submitted by 21 students (17 MSc + 4 PhDs) ◮ 3 different thematic tracks: ◮ Negation Scope (Area Chair: Stephan Oepen) ◮ Sentiment Analysis (ACs: Jeremy Barnes & Lilja Øvrelid) ◮ Named Entity Recognition (AC: Erik Velldal) ◮ General PyTorch support by Vinit Ravishankar ◮ All papers peer-reviewed by two students + instructors. ◮ Workshop proceedings (132 pages): https://www.uio.no/studier/emner/matnat/ifi/IN5550/v20/ proceedings.pdf 2

Program ◮ Presentations from the four PhD fellows (15+5 min.) ◮ Ping-Han Hsieh: Targeted Sentiment Analysis for Norwegian Language ◮ Maja Buljan: A Replication Study in Negation Scope Resolution ◮ Awadelrahman Mohamedelsadig Ali Ahmed: Sequence to Sequence Learning for Named Entity Recognition ◮ Ole Magnus Holter: Toward multilingual Named Entity Recognition for Norwegian and English ◮ Awards: ◮ best paper ◮ outstanding reviews ◮ highest score across obligatory assignments 3

Awards: trophy t-shirts 4

Awards Highest scores across obligatory assignments ◮ Max. possible points across the 3 obligatory assignments: 36 (30+6) 5

Awards Highest scores across obligatory assignments ◮ Max. possible points across the 3 obligatory assignments: 36 (30+6) ◮ Ole Magnus Holter: 35 points ◮ Zhenying Wu: 34 points 5

Awards Highest scores across obligatory assignments ◮ Max. possible points across the 3 obligatory assignments: 36 (30+6) ◮ Ole Magnus Holter: 35 points ◮ Zhenying Wu: 34 points Outstanding reviews 5

Awards Highest scores across obligatory assignments ◮ Max. possible points across the 3 obligatory assignments: 36 (30+6) ◮ Ole Magnus Holter: 35 points ◮ Zhenying Wu: 34 points Outstanding reviews ◮ Vemund Justnes ◮ Maria Singstad Paulsen 5

Awards Highest scores across obligatory assignments ◮ Max. possible points across the 3 obligatory assignments: 36 (30+6) ◮ Ole Magnus Holter: 35 points ◮ Zhenying Wu: 34 points Outstanding reviews ◮ Vemund Justnes ◮ Maria Singstad Paulsen Best paper (PhD fellows not considered) 5

Awards Highest scores across obligatory assignments ◮ Max. possible points across the 3 obligatory assignments: 36 (30+6) ◮ Ole Magnus Holter: 35 points ◮ Zhenying Wu: 34 points Outstanding reviews ◮ Vemund Justnes ◮ Maria Singstad Paulsen Best paper (PhD fellows not considered) ◮ Halvor Holhjem Bugge: Targeted Sentiment Analysis with Ensembles 5

Awards Highest scores across obligatory assignments ◮ Max. possible points across the 3 obligatory assignments: 36 (30+6) ◮ Ole Magnus Holter: 35 points ◮ Zhenying Wu: 34 points Outstanding reviews ◮ Vemund Justnes ◮ Maria Singstad Paulsen Best paper (PhD fellows not considered) ◮ Halvor Holhjem Bugge: Targeted Sentiment Analysis with Ensembles ◮ Honourable mentions: ◮ Øystein Skauli: Model and Data Exploration with the NorNE Dataset ◮ Petter Mæhlum and Muhammad Asad Ali: Not Quite on Target: BIO Tag Variation and Lexicon Inclusion for Norwegian Targeted Sentiment Analysis 5

WNNLP 2020 The 2nd IN5550 Teaching Workshop on Neural Natural - PowerPoint PPT Presentation

WNNLP 2020 The 2nd IN5550 Teaching Workshop on Neural Natural Language Processing University of Oslo May 27 2020 WNNLP 2020 at a glance 15 accepted papers submitted by 21 students (17 MSc + 4 PhDs) 3 different thematic tracks:

IN5550: Neural Methods in Natural Language Processing IN5550 Neural Methods in Natural

IN5550: Neural Methods in Natural Language Processing IN5550 Neural Methods in Natural

IN5550: Neural Methods in Natural Language Processing IN5550 Neural Methods in Natural

IN5550 Neural Methods in Natural Language Processing Convolutional Neural Networks (2:2)

IN5550 Neural Methods in Natural Language Processing Convolutional Neural Networks Erik

IN5550 Neural Methods in Natural Language Processing Convolutional Neural Networks Erik

IN5550: Neural Methods in Natural Language Processing Introduction Jeremy Barnes, Andrey

IN5550: Neural Methods in Natural Language Processing Introduction Jeremy Barnes, Andrey

IN5550 Neural Methods in Natural Language Processing Applications of Recurrent Neural Networks

IN5550 Neural Methods in Natural Language Processing Ensembles, transfer and multi-task

IN5550 Neural Methods in Natural Language Processing Ensembles, transfer and multi-task

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IN5550 Neural Methods in Natural Language Processing Recurrent Neural Networks Stephan Oepen

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IN5550: Neural Methods in Natural Language Processing Lecture 2 Supervised Machine Learning:

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IN5550: Neural Methods in Natural Language Processing Lecture 5 Distributional hypothesis and

IN5550: Neural Methods in Natural Language Processing Lecture 4 Dense Representations of

IN5550 Neural Methods in Natural Language Processing Attention! Vinit Ravishankar

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