5 citations · 12 across the 14 of their papers we have counts for
6 papers · 1 filter
Crowdsourcing Lexical Diversity
Hadi Khalilia, Jahna Otterbacher, Gabor Bella +2
Lexical-semantic resources (LSRs), such as online lexicons and wordnets, are fundamental to natural language processing applications as well as to fields such as linguistic anthrop…
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yonghao Liu, Mengyu Li, Ximing Li +5
Node classification is an essential problem in graph learning. However, many models typically obtain unsatisfactory performance when applied to few-shot scenarios. Some studies hav…
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
Yonghao Liu, Mengyu Li, Di Liang +5
Natural Language Inference (NLI) is a crucial task in natural language processing that involves determining the relationship between two sentences, typically referred to as the pre…
Layers of technology in pluriversal design. Decolonising language technology with the LiveLanguage initiative
Gertraud Koch, Gábor Bella, Paula Helm +1
Language technology has the potential to facilitate intercultural communication through meaningful translations. However, the current state of language technology is deeply entangl…
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
Mengyu Li, Yonghao Liu, Fausto Giunchiglia +3
Text classification is a crucial and fundamental task in web content mining. Compared with the previous learning paradigm of pre-training and fine-tuning by cross entropy loss, the…
Advancing the Arabic WordNet: Elevating Content Quality
Abed Alhakim Freihat, Hadi Khalilia, Gábor Bella +1
High-quality WordNets are crucial for achieving high-quality results in NLP applications that rely on such resources. However, the wordnets of most languages suffer from serious is…