A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

Sina Ahmadi; John P. McCrae; Sanni Nimb; Fahad Khan; Monica Monachini; Bolette S. Pedersen; Thierry Declerck; Tanja Wissik; Andrea Bellandi; Irene Pisani; Thomas Troelsgard; Sussi Olsen; Simon Krek; Veronika Lipp; Tamás Váradi; László Simon; András Gyórffy; Carole Tiberius; Tanneke Schoonheim; Yifat Ben Moshe; Maya Rudich; Raya Abu Ahmad; Dorielle Lonke; Kira Kovalenko; Margit Langemets; Jelena Kallas; Oksana Dereza; Theodorus Fransen; David Cillessen; David Lindemann; Mikel Alonso; Ana Salgado; José Luis Sancho; Rafael-J. Ureña-Ruiz; Jordi Porta Zamorano; Kiril Simov; Petya Osenova; Zara Kancheva; Ivaylo Radev; Ranka  Ranka Stankovic; Andrej Perdih; Dejan Gabrovsek

A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

Sina Ahmadi, John P. McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette S. Pedersen, Thierry Declerck, Tanja Wissik, Andrea Bellandi, Irene Pisani, Thomas Troelsgard, Sussi Olsen, Simon Krek, Veronika Lipp, Tamás Váradi, László Simon, András Gyórffy, Carole Tiberius, Tanneke Schoonheim, Yifat Ben MosheMaya Rudich, Raya Abu Ahmad, Dorielle Lonke, Kira Kovalenko, Margit Langemets, Jelena Kallas, Oksana Dereza, Theodorus Fransen, David Cillessen, David Lindemann, Mikel Alonso, Ana Salgado, José Luis Sancho, Rafael-J. Ureña-Ruiz, Jordi Porta Zamorano, Kiril Simov, Petya Osenova, Zara Kancheva, Ivaylo Radev, Ranka Ranka Stankovic, Andrej Perdih, Dejan Gabrovsek

Centro de Linguística da UNL (CLUNL)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

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.

Original language	English
Title of host publication	Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)
Editors	Nicoletta Calzolari, Frédéric Béche, Philippe Blach, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Place of Publication	Paris
Publisher	European Language Resources Association (ELRA)
Pages	3232–3242
Number of pages	10
ISBN (Print)	979-10-95546-36-8
Publication status	Published - 2020
Event	Language Resources and Evaluation Conference - Le Palais du Pharo, Marseilles, France Duration: 13 May 2020 → 15 May 2020 Conference number: 12th https://lrec2020.lrec-conf.org/en/

Conference

Conference	Language Resources and Evaluation Conference
Abbreviated title	LREC 2020
Country/Territory	France
City	Marseilles
Period	13/05/20 → 15/05/20
Internet address	https://lrec2020.lrec-conf.org/en/

Keywords

Lexical semantics resoruces
Sense alignment
Lexicography
Language resource

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Cite this

Ahmadi, S., McCrae, J. P., Nimb, S., Khan, F., Monachini, M., Pedersen, B. S., Declerck, T., Wissik, T., Bellandi, A., Pisani, I., Troelsgard, T., Olsen, S., Krek, S., Lipp, V., Váradi, T., Simon, L., Gyórffy, A., Tiberius, C., Schoonheim, T., ... Gabrovsek, D. (2020). A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. In N. Calzolari, F. Béche, P. Blach, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) (pp. 3232–3242). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2020/index.html

Ahmadi, Sina ; McCrae, John P. ; Nimb, Sanni et al. / A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). editor / Nicoletta Calzolari ; Frédéric Béche ; Philippe Blach ; Khalid Choukri ; Christopher Cieri ; Thierry Declerck ; Sara Goggi ; Hitoshi Isahara ; Bente Maegaard ; Joseph Mariani ; Hélène Mazo ; Asuncion Moreno ; Jan Odijk ; Stelios Piperidis. Paris : European Language Resources Association (ELRA), 2020. pp. 3232–3242

@inproceedings{6017a54e198849119568d2ecbb2371b7,

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 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.",

keywords = "Lexical semantics resoruces, Sense alignment, Lexicography, Language resource",

author = "Sina Ahmadi and McCrae, {John P.} and Sanni Nimb and Fahad Khan and Monica Monachini and Pedersen, {Bolette S.} and Thierry Declerck and Tanja Wissik and Andrea Bellandi and Irene Pisani and Thomas Troelsgard 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 Gy{\'o}rffy and Carole Tiberius and Tanneke Schoonheim and Moshe, {Yifat Ben} and Maya Rudich and Ahmad, {Raya Abu} 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 {Porta Zamorano}, Jordi and Kiril Simov and Petya Osenova and Zara Kancheva and Ivaylo Radev and {Ranka Stankovic}, Ranka and Andrej Perdih and Dejan Gabrovsek",

note = "UIDB/03213/2020 UIDP/03213/2020 ; Language Resources and Evaluation Conference, LREC 2020 ; Conference date: 13-05-2020 Through 15-05-2020",

year = "2020",

language = "English",

isbn = "979-10-95546-36-8",

pages = "3232–3242",

editor = "Nicoletta Calzolari and Fr{\'e}d{\'e}ric B{\'e}che and Philippe Blach and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H{\'e}l{\`e}ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis",

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

publisher = "European Language Resources Association (ELRA)",

url = "https://lrec2020.lrec-conf.org/en/",

}

Ahmadi, S, McCrae, JP, Nimb, S, Khan, F, Monachini, M, Pedersen, BS, Declerck, T, Wissik, T, Bellandi, A, Pisani, I, Troelsgard, T, Olsen, S, Krek, S, Lipp, V, Váradi, T, Simon, L, Gyórffy, A, Tiberius, C, Schoonheim, T, Moshe, YB, Rudich, M, Ahmad, RA, 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, Porta Zamorano, J, Simov, K, Osenova, P, Kancheva, Z, Radev, I, Ranka Stankovic, R, Perdih, A & Gabrovsek, D 2020, A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. in N Calzolari, F Béche, P Blach, K Choukri, C Cieri, T Declerck, S Goggi, H Isahara, B Maegaard, J Mariani, H Mazo, A Moreno, J Odijk & S Piperidis (eds), Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association (ELRA), Paris, pp. 3232–3242, Language Resources and Evaluation Conference, Marseilles, France, 13/05/20. <http://www.lrec-conf.org/proceedings/lrec2020/index.html>

A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. / Ahmadi, Sina; McCrae, John P.; Nimb, Sanni et al.
Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). ed. / Nicoletta Calzolari; Frédéric Béche; Philippe Blach; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Hélène Mazo; Asuncion Moreno; Jan Odijk; Stelios Piperidis. Paris: European Language Resources Association (ELRA), 2020. p. 3232–3242.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

AU - Ahmadi, Sina

AU - McCrae, John P.

AU - Nimb, Sanni

AU - Khan, Fahad

AU - Monachini, Monica

AU - Pedersen, Bolette S.

AU - Declerck, Thierry

AU - Wissik, Tanja

AU - Bellandi, Andrea

AU - Pisani, Irene

AU - Troelsgard, Thomas

AU - Olsen, Sussi

AU - Krek, Simon

AU - Lipp, Veronika

AU - Váradi, Tamás

AU - Simon, László

AU - Gyórffy, András

AU - Tiberius, Carole

AU - Schoonheim, Tanneke

AU - Moshe, Yifat Ben

AU - Rudich, Maya

AU - Ahmad, Raya Abu

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 - Porta Zamorano, Jordi

AU - Simov, Kiril

AU - Osenova, Petya

AU - Kancheva, Zara

AU - Radev, Ivaylo

AU - Ranka Stankovic, Ranka

AU - Perdih, Andrej

AU - Gabrovsek, Dejan

N1 - Conference code: 12th

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Lexical semantics resoruces

KW - Sense alignment

KW - Lexicography

KW - Language resource

M3 - Conference contribution

SN - 979-10-95546-36-8

SP - 3232

EP - 3242

BT - Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)

A2 - Calzolari, Nicoletta

A2 - Béche, Frédéric

A2 - Blach, Philippe

A2 - Choukri, Khalid

A2 - Cieri, Christopher

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Isahara, Hitoshi

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Hélène

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Piperidis, Stelios

PB - European Language Resources Association (ELRA)

CY - Paris

T2 - Language Resources and Evaluation Conference

Y2 - 13 May 2020 through 15 May 2020

ER -

Ahmadi S, McCrae JP, Nimb S, Khan F, Monachini M, Pedersen BS et al. A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment. In Calzolari N, Béche F, Blach P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, editors, Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). Paris: European Language Resources Association (ELRA). 2020. p. 3232–3242

A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

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Keywords

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