Designing the ELEXIS Parallel Sense-Annotated Dataset in 10 European Languages

Federico Martelli, Roberto Navigli, Simon Krek, Jelena Kallas, Polona Gantar, Svetla Koeva, Sanni Nimb, Bolette Sandford Pedersen, Sussi Olsen, Margit Langemets, Kristina Koppel, Tiiu Üksik, Kaja Dobrovoljc, Rafael-J. Ureña-Ruiz, José-Luis Sancho-Sánchez, Veronika Lipp, Tamás Váradi, András Győrffy, Simon László, Valeria QuochiMonica Monachini, Francesca Frontini, Carole Tiberius, Rob Tempelaars, Rute Costa, Ana Salgado, Jaka Čibej, Tina Munda

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9 Citations (Scopus)
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Over the course of the last few years, lexicography has witnessed the burgeoning of increasingly reliable automatic approaches supporting the creation of lexicographic resources such as dictionaries, lexical knowledge bases and annotated datasets. In fact, recent achievements in the field of Natural Language Processing and particularly in Word Sense Disambiguation have widely demonstrated their effectiveness not only for the creation of lexicographic resources, but also for enabling a deeper analysis of lexical-semantic data both within and across languages. Nevertheless, we argue that the potential derived from the connections between the two fields is far from exhausted. In this work, we address a serious limitation affecting both lexicography and Word Sense Disambiguation, i.e. the lack of high-quality sense-annotated data and describe our efforts aimed at constructing a novel entirely manually annotated parallel dataset in 10 European languages. For the purposes of the present paper, we concentrate on the annotation of morpho-syntactic features. Finally, unlike many of the currently available sense-annotated datasets, we will annotate semantically by using senses derived from high-quality lexicographic repositories.
Original languageEnglish
Pages (from-to)377-395
Number of pages18
JournalProceedings of Electronic Lexicography in the 21st Century Conference
Issue number2021
Publication statusPublished - 2021
EventeLex 2021, 7th biennial conference on electronic lexicography - Brno, Czech Republic
Duration: 5 Jul 20217 Jul 2021


  • Digital lexicography
  • Natural Language Processing
  • Computational Linguistics
  • Corpus Linguistics
  • Word Sense Disambiguation


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