Search Results for author:
Found 1 papers, 0 papers with code
Neural Language Models vs Wordnet-based Semantically Enriched Representation in CST Relation Recognition
Neural language models, including transformer-based models, that are pre-trained on very large corpora became a common way to represent text in various tasks, including recognition of textual semantic relations, e. g. Cross-document Structure Theory.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
