4 citations · 5 across the 15 of their papers we have counts for
5 papers · 1 filter
Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection
Gretel Liz De la Peña Sarracén, Paolo Rosso, Robert Litschko +2
Cross-lingual transfer learning from high-resource to medium and low-resource languages has shown encouraging results. However, the scarcity of resources in target languages remain…
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
Evgeniia Razumovskaia, Goran Glavaš, Anna Korhonen +1
Task-oriented dialogue (ToD) systems help users execute well-defined tasks across a variety of domains (e.g., or ), with their Nat…
To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages
Benedikt Ebing, Goran Glavaš
Perfect machine translation (MT) would render cross-lingual transfer (XLT) by means of multilingual language models (mLMs) superfluous. Given, on the one hand, the large body of wo…
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification
Yongxin Huang, Kexin Wang, Sourav Dutta +3
Recent work has found that few-shot sentence classification based on pre-trained Sentence Encoders (SEs) is efficient, robust, and effective. In this work, we investigate strategie…
NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation
Andreea Iana, Goran Glavaš, Heiko Paulheim
NewsRecLib is an open-source library based on Pytorch-Lightning and Hydra developed for training and evaluating neural news recommendation models. The foremost goals of NewsRecLib…