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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; Wissik, Tanja; Cillessen, David; Porta Zamorano, Jordi; Ranka Stankovic, Ranka; Osenova, Petya; Troelsgard, Thomas; Langemets, Margit; Pedersen, Bolette S.; Declerck, Thierry; Kallas, Jelena; Ahmadi, Sina; Fransen, Theodorus; Nimb, Sanni; Schoonheim, Tanneke; Gabrovsek, Dejan; Rudich, Maya; Bellandi, Andrea; Dereza, Oksana; Gyórffy, András; McCrae, John P.; Kovalenko, Kira; Tiberius, Carole; Simon, László; Khan, Fahad; Olsen, Sussi; Perdih, Andrej; Simov, Kiril; Salgado, Ana de Castro; Monachini, Monica; Radev, Ivaylo; Váradi, Tamás; Ureña-Ruiz, Rafael-J.; Sancho, José Luis; Alonso, Mikel; Lindemann, David; Moshe, Yifat Ben; Pisani, Irene; Lipp, Veronika; Kancheva, Zara. - : European Language Resources Association (ELRA), 2020 Abstract: UIDB/03213/2020 UIDP/03213/2020 ; Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language process-ing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment iscarried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships suchas broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide rangeof languages and resources and focuses on the more challenging task of linking general-purpose language. We believe that our data willpave the way for further advances in alignment and evaluation of word senses by creating new solutions, particularly those notoriouslyrequiring data such as neural networks. Our resources are publicly available athttps://github.com/elexis-eu/MWSA. ; publishersversion ; published Keyword: Language resource; Lexical semantics resoruces; Lexicography; Sense alignment URL: http://hdl.handle.net/10362/116231 BASE Hide 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. - : Zenodo, 2020 BASE Show details

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