LMMS reloaded: transformer-based sense embeddings for disambiguation and beyond

DOI10.1016/j.artint.2022.103661OpenAlexW3164819020MaRDI QIDQ2124431

Alípio Mário Jorge, Daniel Loureiro, José Camacho-Collados

Publication date: 11 April 2022

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2105.12449

zbMATH Keywords

semantic representationsneural language models

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Uses Software

• WordNet
• Silhouettes
• ConceptNet
• word2vec
• Nasari
• GloVe
• Tensor2Tensor
• BabelNet
• Transformers
• SuperGLUE
• BERT
• fairseq
• XLNet
• RoBERTa
• Visual Genome
• AutoExtend
• SentencePiece
• ALBERT
• Transformer-XL
• KagNet
• VerbNet
• GPT-3
• SenseBERT
• BART

Cites Work

• Unnamed Item
• Unnamed Item
• \textsc{Nasari}: integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• A vector space model for automatic indexing
• From Word To Sense Embeddings: A Survey on Vector Representations of Meaning
• 10.1162/153244303322533223
• 10.1162/jmlr.2003.3.4-5.993

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