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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment Krek, Simon; Lonke, Dorielle; Ahmad, Raya Abu. - : European Language Resources Association (ELRA), 2020 BASE Show details 2 A multilingual evaluation dataset for monolingual word sense alignment Nimb, Sanni; Gabrovsek, Dejan; Schoonheim, Tanneke. - : National University of Ireland Galway, 2020 BASE Show details 3 A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ... Ahmadi, Sina; McCrae, John P.; Nimb, Sanni. - : Zenodo, 2020 BASE Show details 4 A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ... Ahmadi, Sina; McCrae, John P.; Nimb, Sanni; Troelsgård, Thomas; Olsen, Sussi; Pedersen, Bolette S.; Declerck, Thierry; Wissik, Tanja; Monachini, Monica; Bellandi, Andrea; Khan, Fahad; Pisani, Irene; Krek, Simon; Lipp, Veronika; Váradi, Tamás; Simon, László; Győrffy, András; Tiberius, Carole; Schoonheim, Tanneke; Moshe, Yifat Ben; Rudich, Maya; Ahmad, Raya Abu; Dorielle Lonke; Kovalenko, Kira; Langemets, Margit; Kallas, Jelena; Dereza, Oksana; Fransen, Theodorus; Cillessen, David; Lindemann, David; Alonso, Mikel; Salgado, Ana; Sancho, José Luis; Rafael-J. Ureña-Ruiz; Simov, Kiril; Osenova, Petya; Kancheva, Zara; Radev, Ivaylo; Stanković, Ranka; Krstev, Cvetana; Lazić, Biljana; Marković, Aleksandra; Perdih, Andrej; Gabrovšek, Dejan. - : Zenodo, 2020 Abstract: 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. ... URL: https://zenodo.org/record/3842647 https://dx.doi.org/10.5281/zenodo.3842647 BASE Hide details

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