A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

Објеката

Тип
Рад у зборнику
Верзија рада
објављена
Језик
енглески
Креатор
Sina Ahmadi, John P McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette S Pedersen, Thierry Declerck, Tanja Wissik, Andrea Bellandi, Irene Pisani, [...] Ranka Stanković and others
Извор
Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), Marseille
Издавач
European Language Resources Association (ELRA)
Датум издавања
2020
Сажетак
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.
почетак странице
3232
крај странице
3242
Subject
lexical semantic resources, sense alignment, lexicography, language resource
Шира категорија рада
М30
Ужа категорија рада
М33
Права
Отворени приступ
Лиценца
Creative Commons – Attribution-Share Alike 4.0 International
Формат
.pdf
Скупови објеката
Ранка Станковић
Radovi istraživača
Медија
2020.lrec_1.395.pdf

Sina Ahmadi, John P McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette S Pedersen, Thierry Declerck, Tanja Wissik, Andrea Bellandi, Irene Pisani, [...] Ranka Stanković and others . "A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment" in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), Marseille, European Language Resources Association (ELRA) (2020)

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