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1
Modelling Etymology in LMF/TEI: The 'Grande Dicionário Houaiss da Língua Portuguesa' Dictionary as a Use Case. ...
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Modelling Etymology in LMF/TEI: The 'Grande Dicionário Houaiss da Língua Portuguesa' Dictionary as a Use Case. ...
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Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case
In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02618067 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org (2020)
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4
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment
Krek, Simon; Lonke, Dorielle; Ahmad, Raya Abu. - : European Language Resources Association (ELRA), 2020
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Modelling Etymology in LMF/TEI ; The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case
Khan, Fahad; Romary, Laurent; Salgado, Ana. - : European Language Resources Association (ELRA), 2020
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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 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. ; The authors would like to thank the three anonymous reviewers for their insightful suggestions and careful reading of the manuscript. This work has received funding from the EU’s Horizon 2020 Research and Innovation programme through the ELEXIS project under grant agreement No. 731015. The contributions in Bulgarian were partially funded by the Bulgarian National Interdisciplinary Research e-Infrastructure for Resources and Technologies in favor of the Bulgarian Language and Cultural Heritage, part of the EU infrastructures CLARIN and DARIAH – CLaDA-BG, Grant number DO1- 272/16.12.2019. This work is also supported by Sci- ence Foundation Ireland (SFI) under the Insight Center for Data Analytics (Grant Number SFI/12/RC/2289) and the Irish Research Council under the “Cardamom” Consolidator Laureate Grant (IRCLA/2017/129). ; peer-reviewed ; 2020-05-16
Keyword: language resource; lexical semantic resources; lexicography; sense alignment
URL: https://doi.org/10.13025/v0mx-x745
http://hdl.handle.net/10379/15920
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7
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ...
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8
A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ...
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9
Nénufar: Modelling a Diachronic Collection of Dictionary Editions as a Computational Lexical Resource
In: ELEX 2019: smart lexicography ; https://hal.inria.fr/hal-02272978 ; ELEX 2019: smart lexicography, Oct 2019, Sintra, Portugal (2019)
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10
LMF Reloaded
In: AsiaLex 2019: Past, Present and Future ; https://hal.inria.fr/hal-02118319 ; AsiaLex 2019: Past, Present and Future, Jun 2019, Istanbul, Turkey (2019)
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LMF Reloaded ...
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