11 citations · 55 across the 24 of their papers we have counts for
3 papers · 2 filters
FiSSA at SemEval-2020 Task 9: Fine-tuned For Feelings
Bertelt Braaksma, Richard Scholtens, Stan van Suijlekom +2
In this paper, we present our approach for sentiment classification on Spanish-English code-mixed social media data in the SemEval-2020 Task 9. We investigate performance of variou…
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP
Rob van der Goot, Ahmet Üstün, Alan Ramponi +2
Transfer learning, particularly approaches that combine multi-task learning with pre-trained contextualized embeddings and fine-tuning, have advanced the field of Natural Language…
UDapter: Language Adaptation for Truly Universal Dependency Parsing
Ahmet Üstün, Arianna Bisazza, Gosse Bouma +1
Recent advances in multilingual dependency parsing have brought the idea of a truly universal parser closer to reality. However, cross-language interference and restrained model ca…