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Ahmadi, Sina and McCrae, John P and Nimb, Sanni and Khan, Fahad and Monachini, Monica and Pedersen, Bolette S and Declerck, Thierry and Wissik, Tanja and Bellandi, Andrea and Pisani, Irene and ... Ranka Stanković and others

A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), Marseille

European Language Resources Association (ELRA)

2020

Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment is carried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships such as broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide range of languages and resources and focuses on the more challenging task of linking general-purpose language. We believe that our data will pave the way for further advances in alignment and evaluation of word senses by creating new solutions, particularly those notoriously requiring data such as neural networks. Our resources are publicly available at https://github.com/elexis-eu/MWSA.

3232

3242

lexical semantic resources, sense alignment, lexicography, language resource

М30

М33

Отворени приступ

Creative Commons – Attribution-Share Alike 4.0 International

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