Challenges of Word Sense Alignment: Portuguese Language Resources

Ana  Salgado; Sina Ahmadi; Alberto Simões; John McCrae; Rute Costa

Challenges of Word Sense Alignment: Portuguese Language Resources

Ana Salgado, Sina Ahmadi, Alberto Simões, John McCrae, Rute Costa

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

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Abstract

This paper reports on an ongoing task of monolingual word sense alignment in which a comparative study between the Portuguese Academy of Sciences Dictionary and the Dicionário Aberto is carried out in the context of the ELEXIS (European Lexicographic Infrastructure) project. Word sense alignment involves searching for matching senses within dictionary entries of different lexical resources and linking them, which poses significant challenges. The lexicographic criteria are not always entirely consistent within individual dictionaries and even less so across different projects where different options may have been assumed in terms of structure and especially wording techniques of lexicographic glosses. This hinders the task of matching senses. We aim to present our annotation workflow in Portuguese using the Semantic Web standards. The results obtained are useful for the discussion within the community.

Original language	English
Title of host publication	Proceedings of the LREC 2020 7th Workshop on Linked Data in Linguistics (LDL-2020)
Editors	Maxim Ionov, John P. McCrae, Christian Chiarcos, Thierry Declerck, Julia Bosque-Gil, Jorge Gracia
Place of Publication	Paris
Publisher	European Language Resources Association (ELRA)
Pages	45-51
Number of pages	6
ISBN (Electronic)	979-10-95546-36-8
ISBN (Print)	979-10-95546-36-8
Publication status	Published - 2020
Event	7th Workshop on Linked Data in Linguistics - Duration: 22 Jun 2020 → 23 Jun 2020 Conference number: 7 http://ldl2020.linguistic-lod.org/

Conference

Conference	7th Workshop on Linked Data in Linguistics
Abbreviated title	LDL-2020
Period	22/06/20 → 23/06/20
Internet address	http://ldl2020.linguistic-lod.org/

Keywords

Lexicography
Sense alignment
Linguistic linked data
Portuguese

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Challenges of Word Sense AlignmentFinal published version, 4 MBLicence: CC BY-NC

https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/LDL2020book.pdfLicence: CC BY-NC

Cite this

Salgado, A., Ahmadi, S., Simões, A., McCrae, J., & Costa, R. (2020). Challenges of Word Sense Alignment: Portuguese Language Resources. In M. Ionov, J. P. McCrae, C. Chiarcos, T. Declerck, J. Bosque-Gil, & J. Gracia (Eds.), Proceedings of the LREC 2020 7th Workshop on Linked Data in Linguistics (LDL-2020) (pp. 45-51). European Language Resources Association (ELRA). https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/LDL2020book.pdf

Salgado, Ana ; Ahmadi, Sina ; Simões, Alberto et al. / Challenges of Word Sense Alignment : Portuguese Language Resources. Proceedings of the LREC 2020 7th Workshop on Linked Data in Linguistics (LDL-2020). editor / Maxim Ionov ; John P. McCrae ; Christian Chiarcos ; Thierry Declerck ; Julia Bosque-Gil ; Jorge Gracia. Paris : European Language Resources Association (ELRA), 2020. pp. 45-51

@inproceedings{0c740d4660984f32a74eb17aa13bb16d,

title = "Challenges of Word Sense Alignment: Portuguese Language Resources",

abstract = "This paper reports on an ongoing task of monolingual word sense alignment in which a comparative study between the Portuguese Academy of Sciences Dictionary and the Dicion{\'a}rio Aberto is carried out in the context of the ELEXIS (European Lexicographic Infrastructure) project. Word sense alignment involves searching for matching senses within dictionary entries of different lexical resources and linking them, which poses significant challenges. The lexicographic criteria are not always entirely consistent within individual dictionaries and even less so across different projects where different options may have been assumed in terms of structure and especially wording techniques of lexicographic glosses. This hinders the task of matching senses. We aim to present our annotation workflow in Portuguese using the Semantic Web standards. The results obtained are useful for the discussion within the community.",

keywords = "Lexicography, Sense alignment, Linguistic linked data, Portuguese",

author = "Ana Salgado and Sina Ahmadi and Alberto Sim{\~o}es and John McCrae and Rute Costa",

note = "UIDB/00749/2020 UIDP/00749/2020; 7th Workshop on Linked Data in Linguistics, LDL-2020 ; Conference date: 22-06-2020 Through 23-06-2020",

year = "2020",

language = "English",

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

pages = "45--51",

editor = "Maxim Ionov and {P. McCrae}, John and Christian Chiarcos and Thierry Declerck and Julia Bosque-Gil and Jorge Gracia",

booktitle = "Proceedings of the LREC 2020 7th Workshop on Linked Data in Linguistics (LDL-2020)",

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

url = "http://ldl2020.linguistic-lod.org/",

}

Salgado, A, Ahmadi, S, Simões, A, McCrae, J & Costa, R 2020, Challenges of Word Sense Alignment: Portuguese Language Resources. in M Ionov, J P. McCrae, C Chiarcos, T Declerck, J Bosque-Gil & J Gracia (eds), Proceedings of the LREC 2020 7th Workshop on Linked Data in Linguistics (LDL-2020). European Language Resources Association (ELRA), Paris, pp. 45-51, 7th Workshop on Linked Data in Linguistics, 22/06/20. <https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/LDL2020book.pdf>

Challenges of Word Sense Alignment: Portuguese Language Resources. / Salgado, Ana ; Ahmadi, Sina; Simões, Alberto et al.
Proceedings of the LREC 2020 7th Workshop on Linked Data in Linguistics (LDL-2020). ed. / Maxim Ionov; John P. McCrae; Christian Chiarcos; Thierry Declerck; Julia Bosque-Gil; Jorge Gracia. Paris: European Language Resources Association (ELRA), 2020. p. 45-51.

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

TY - GEN

T1 - Challenges of Word Sense Alignment

T2 - 7th Workshop on Linked Data in Linguistics

AU - Salgado, Ana

AU - Ahmadi, Sina

AU - Simões, Alberto

AU - McCrae, John

AU - Costa, Rute

N1 - Conference code: 7

PY - 2020

Y1 - 2020

N2 - This paper reports on an ongoing task of monolingual word sense alignment in which a comparative study between the Portuguese Academy of Sciences Dictionary and the Dicionário Aberto is carried out in the context of the ELEXIS (European Lexicographic Infrastructure) project. Word sense alignment involves searching for matching senses within dictionary entries of different lexical resources and linking them, which poses significant challenges. The lexicographic criteria are not always entirely consistent within individual dictionaries and even less so across different projects where different options may have been assumed in terms of structure and especially wording techniques of lexicographic glosses. This hinders the task of matching senses. We aim to present our annotation workflow in Portuguese using the Semantic Web standards. The results obtained are useful for the discussion within the community.

AB - This paper reports on an ongoing task of monolingual word sense alignment in which a comparative study between the Portuguese Academy of Sciences Dictionary and the Dicionário Aberto is carried out in the context of the ELEXIS (European Lexicographic Infrastructure) project. Word sense alignment involves searching for matching senses within dictionary entries of different lexical resources and linking them, which poses significant challenges. The lexicographic criteria are not always entirely consistent within individual dictionaries and even less so across different projects where different options may have been assumed in terms of structure and especially wording techniques of lexicographic glosses. This hinders the task of matching senses. We aim to present our annotation workflow in Portuguese using the Semantic Web standards. The results obtained are useful for the discussion within the community.

KW - Lexicography

KW - Sense alignment

KW - Linguistic linked data

KW - Portuguese

M3 - Conference contribution

SN - 979-10-95546-36-8

SP - 45

EP - 51

BT - Proceedings of the LREC 2020 7th Workshop on Linked Data in Linguistics (LDL-2020)

A2 - Ionov, Maxim

A2 - P. McCrae, John

A2 - Chiarcos, Christian

A2 - Declerck, Thierry

A2 - Bosque-Gil, Julia

A2 - Gracia, Jorge

PB - European Language Resources Association (ELRA)

CY - Paris

Y2 - 22 June 2020 through 23 June 2020

ER -

Challenges of Word Sense Alignment: Portuguese Language Resources

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Keywords

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