Standard
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. / Ahmadi, Sina; McCrae, John; Nimb, Sanni; Khan, Fahad; Monachini, Monica; Pedersen, Bolette Sandford; Declerck, Thierry; Wissik, Tanja; Bellandi, Andrea; Pisani, Irene; Troelsgård, Thomas; Olsen, Sussi; Krek, Simon; Lipp, Veronika; Váradi, Tamás; Simon, László; Gyorffy, András; Tiberius, Carole; Schoonheim, Tanneke; Moshe, Yifat Ben; Rudich, Maya; Abu Ahmad, Raya; Lonke, Dorielle; Kovalenko, Kira; Langemets, Margit; Kallas, Jelena; Dereza, Oksana; Fransen, Theodorus; Cillessen, David; Lindemann, David; Alonso, Mikel; Salgado, Ana; Sancho, José Luis; Ureña-Ruiz, Rafael-J; Zamorano, Jordi Porta; Simov, Kiril; Osenova, Petya; Kancheva, Zara; Radev, Ivaylo; Stanković, Ranka; Perdih, Andrej; Gabrovsek, Dejan.
Proceedings of the 12th Language Resources and Evaluation Conference. ed. / Nicoletta Calzolari. Marseille, France : European Language Resources Association, 2020. p. 3232-3242.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Ahmadi, S, McCrae, J, Nimb, S, Khan, F, Monachini, M
, Pedersen, BS, Declerck, T, Wissik, T, Bellandi, A, Pisani, I, Troelsgård, T
, Olsen, S, Krek, S, Lipp, V, Váradi, T, Simon, L, Gyorffy, A, Tiberius, C, Schoonheim, T, Moshe, YB, Rudich, M, Abu Ahmad, R, Lonke, D, Kovalenko, K, Langemets, M, Kallas, J, Dereza, O, Fransen, T, Cillessen, D, Lindemann, D, Alonso, M, Salgado, A, Sancho, JL, Ureña-Ruiz, R-J, Zamorano, JP, Simov, K, Osenova, P, Kancheva, Z, Radev, I, Stanković, R, Perdih, A & Gabrovsek, D 2020,
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. in N Calzolari (ed.),
Proceedings of the 12th Language Resources and Evaluation Conference. European Language Resources Association, Marseille, France, pp. 3232-3242. <
http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.395.pdf>
APA
Ahmadi, S., McCrae, J., Nimb, S., Khan, F., Monachini, M.
, Pedersen, B. S., Declerck, T., Wissik, T., Bellandi, A., Pisani, I., Troelsgård, T.
, Olsen, S., Krek, S., Lipp, V., Váradi, T., Simon, L., Gyorffy, A., Tiberius, C., Schoonheim, T., ... Gabrovsek, D. (2020).
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. In N. Calzolari (Ed.),
Proceedings of the 12th Language Resources and Evaluation Conference (pp. 3232-3242). European Language Resources Association.
http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.395.pdfVancouver
Ahmadi S, McCrae J, Nimb S, Khan F, Monachini M, Pedersen BS et al. A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. In Calzolari N, editor, Proceedings of the 12th Language Resources and Evaluation Conference. Marseille, France: European Language Resources Association. 2020. p. 3232-3242
Author
Ahmadi, Sina ; McCrae, John ; Nimb, Sanni ; Khan, Fahad ; Monachini, Monica ; Pedersen, Bolette Sandford ; Declerck, Thierry ; Wissik, Tanja ; Bellandi, Andrea ; Pisani, Irene ; Troelsgård, Thomas ; Olsen, Sussi ; Krek, Simon ; Lipp, Veronika ; Váradi, Tamás ; Simon, László ; Gyorffy, András ; Tiberius, Carole ; Schoonheim, Tanneke ; Moshe, Yifat Ben ; Rudich, Maya ; Abu Ahmad, Raya ; Lonke, Dorielle ; Kovalenko, Kira ; Langemets, Margit ; Kallas, Jelena ; Dereza, Oksana ; Fransen, Theodorus ; Cillessen, David ; Lindemann, David ; Alonso, Mikel ; Salgado, Ana ; Sancho, José Luis ; Ureña-Ruiz, Rafael-J ; Zamorano, Jordi Porta ; Simov, Kiril ; Osenova, Petya ; Kancheva, Zara ; Radev, Ivaylo ; Stanković, Ranka ; Perdih, Andrej ; Gabrovsek, Dejan. / A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. Proceedings of the 12th Language Resources and Evaluation Conference. editor / Nicoletta Calzolari. Marseille, France : European Language Resources Association, 2020. pp. 3232-3242
Bibtex
@inproceedings{a675decdf072459481b10e42e227762b,
title = "A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment",
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 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 at https://github.com/elexis-eu/MWSA.",
author = "Sina Ahmadi and John McCrae and Sanni Nimb and Fahad Khan and Monica Monachini and Pedersen, {Bolette Sandford} and Thierry Declerck and Tanja Wissik and Andrea Bellandi and Irene Pisani and Thomas Troelsg{\aa}rd and Sussi Olsen and Simon Krek and Veronika Lipp and Tam{\'a}s V{\'a}radi and L{\'a}szl{\'o} Simon and Andr{\'a}s Gyorffy and Carole Tiberius and Tanneke Schoonheim and Moshe, {Yifat Ben} and Maya Rudich and {Abu Ahmad}, Raya and Dorielle Lonke and Kira Kovalenko and Margit Langemets and Jelena Kallas and Oksana Dereza and Theodorus Fransen and David Cillessen and David Lindemann and Mikel Alonso and Ana Salgado and Sancho, {Jos{\'e} Luis} and Rafael-J Ure{\~n}a-Ruiz and Zamorano, {Jordi Porta} and Kiril Simov and Petya Osenova and Zara Kancheva and Ivaylo Radev and Ranka Stankovi{\'c} and Andrej Perdih and Dejan Gabrovsek",
year = "2020",
language = "English",
pages = "3232--3242",
editor = "Calzolari, {Nicoletta }",
booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
publisher = "European Language Resources Association",
}
RIS
TY - GEN
T1 - A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
AU - Ahmadi, Sina
AU - McCrae, John
AU - Nimb, Sanni
AU - Khan, Fahad
AU - Monachini, Monica
AU - Pedersen, Bolette Sandford
AU - Declerck, Thierry
AU - Wissik, Tanja
AU - Bellandi, Andrea
AU - Pisani, Irene
AU - Troelsgård, Thomas
AU - Olsen, Sussi
AU - Krek, Simon
AU - Lipp, Veronika
AU - Váradi, Tamás
AU - Simon, László
AU - Gyorffy, András
AU - Tiberius, Carole
AU - Schoonheim, Tanneke
AU - Moshe, Yifat Ben
AU - Rudich, Maya
AU - Abu Ahmad, Raya
AU - Lonke, Dorielle
AU - Kovalenko, Kira
AU - Langemets, Margit
AU - Kallas, Jelena
AU - Dereza, Oksana
AU - Fransen, Theodorus
AU - Cillessen, David
AU - Lindemann, David
AU - Alonso, Mikel
AU - Salgado, Ana
AU - Sancho, José Luis
AU - Ureña-Ruiz, Rafael-J
AU - Zamorano, Jordi Porta
AU - Simov, Kiril
AU - Osenova, Petya
AU - Kancheva, Zara
AU - Radev, Ivaylo
AU - Stanković, Ranka
AU - Perdih, Andrej
AU - Gabrovsek, Dejan
PY - 2020
Y1 - 2020
N2 - 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 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 at https://github.com/elexis-eu/MWSA.
AB - 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 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 at https://github.com/elexis-eu/MWSA.
M3 - Article in proceedings
SP - 3232
EP - 3242
BT - Proceedings of the 12th Language Resources and Evaluation Conference
A2 - Calzolari, Nicoletta
PB - European Language Resources Association
CY - Marseille, France
ER -
