Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5) - ACL Anthology

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Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5)

Luis Espinosa-Anke, Thierry Declerck, Dagmar Gromann, Jose Camacho-Collados, Mohammad Taher Pilehvar (Editors)

Anthology ID:: W19-58
Month:: August
Year:: 2019
Address:: Macau, China
Venue:: SemDeep
Events:: Other Workshops and Events (2019) | Workshop on Semantic Deep Learning (2019)
SIG:
Publisher:: Association for Computational Linguistics
URL:: https://preview.aclanthology.org/switch-docopt-to-docopt-ng/W19-58/
DOI:
Bib Export formats:: BibTeX
PDF:: https://preview.aclanthology.org/switch-docopt-to-docopt-ng/W19-58.pdf

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Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5)
Luis Espinosa-Anke | Thierry Declerck | Dagmar Gromann | Jose Camacho-Collados | Mohammad Taher Pilehvar

LIAAD at SemDeep-5 Challenge: Word-in-Context (WiC)
Daniel Loureiro | Alípio Jorge

LIMSI-MULTISEM at the IJCAI SemDeep-5 WiC Challenge: Context Representations for Word Usage Similarity Estimation
Aina Garí Soler | Marianna Apidianaki | Alexandre Allauzen

Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words
Dingmin Wang | Meng Fang | Yan Song | Juntao Li

An ELMo-inspired approach to SemDeep-5’s Word-in-Context task
Alan Ansell | Felipe Bravo-Marquez | Bernhard Pfahringer

Using hyperbolic large-margin classifiers for biological link prediction
Asan Agibetov | Georg Dorffner | Matthias Samwald

Extending Neural Question Answering with Linguistic Input Features
Fabian Hommel | Philipp Cimiano | Matthias Orlikowski | Matthias Hartung

How to Use Gazetteers for Entity Recognition with Neural Models
Simone Magnolini | Valerio Piccioni | Vevake Balaraman | Marco Guerini | Bernardo Magnini

Learning Household Task Knowledge from WikiHow Descriptions
Yilun Zhou | Julie Shah | Steven Schockaert

A Sequence Modeling Approach for Structured Data Extraction from Unstructured Text
Jayati Deshmukh | Annervaz K M | Shubhashis Sengupta