4 papers · 1 filter
Fine-grained Fallacy Detection with Human Label Variation
Alan Ramponi, Agnese Daffara, Sara Tonelli
We introduce Faina, the first dataset for fallacy detection that embraces multiple plausible answers and natural disagreement. Faina includes over 11K span-level annotations with o…
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova +6
The lack of publicly available evaluation data for low-resource languages limits progress in Spoken Language Understanding (SLU). As key tasks like intent classification and slot f…
Neural Unsupervised Domain Adaptation in NLP---A Survey
Alan Ramponi, Barbara Plank
Deep neural networks excel at learning from labeled data and achieve state-of-the-art resultson a wide array of Natural Language Processing tasks. In contrast, learning from unlabe…
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…