Advancing the Arabic WordNet: Elevating Content Quality

arXiv:2403.20215v1 Announce Type: new
Abstract: 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 issues of correctness and completeness with respect to the words and word meanings they define, such as incorrect lemmas, missing glosses and example sentences, or an inadequate, Western-centric representation of the morphology and the semantics of the language. Previous efforts have largely focused on increasing lexical coverage while ignoring other …

abstract applications arabic arxiv cs.cl example however languages nlp quality resources results type word wordnet words