69 citations · 219 across the 23 of their papers we have counts for
4 papers · 1 filter
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection
Emily Öhman, Marc Pàmies, Kaisla Kajava +1
We introduce XED, a multilingual fine-grained emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations f…
The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT
Jörg Tiedemann
This paper describes the development of a new benchmark for machine translation that provides training and test data for thousands of language pairs covering over 500 languages and…
LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT?
Marc Pàmies, Emily Öhman, Kaisla Kajava +1
This paper presents the different models submitted by the LT@Helsinki team for the SemEval 2020 Shared Task 12. Our team participated in sub-tasks A and C; titled offensive languag…
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation
Alessandro Raganato, Yves Scherrer, Jörg Tiedemann
Transformer-based models have brought a radical change to neural machine translation. A key feature of the Transformer architecture is the so-called multi-head attention mechanism,…