D3.8 Lexical-semantic analytics for NLP

Federico Martelli, Marco Maru, Cesare Campagnano, Roberto Navigli, Paola Velardi , Rafael-J. Ureña-Ruiz, Francesca Frontini, Valeria Quochi, Jelena Kallas, Kristina Koppel, Margit Langemets, Jesse de Does, Rob Tempelaars, Carole Tiberius, Rute Costa, Ana de Castro Salgado, Sanni Nimb, Sussi Olsen, Simon Krek, Jaka ČibejKaja Dobrovoljc, Polona Gantar, Tina Munda

Research output: Book/ReportCommissioned reportpeer-review

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Abstract

The present document illustrates the work carried out in task 3.3 (work package 3) of ELEXIS project focused on lexical-semantic analytics for Natural Language Processing (NLP). This task aims at computing analytics for lexical-semantic information such as words, senses and domains in the available resources, investigating their role in NLP applications.
Specifically, this task concentrates on three research directions, namely i) sense clustering, in which grouping senses based on their semantic similarity improves the performance of NLP tasks such as Word Sense Disambiguation (WSD), ii) domain labeling of text, in which the lexicographic resources made available by the ELEXIS project for research purposes allow better performances to be achieved, and finally iii) analysing the diachronic distribution of senses, for which a software package is made available.
Original languageEnglish
PublisherELEXIS - European Lexicographic Infrastructure
Commissioning bodyEuropean Union
Number of pages67
Publication statusPublished - 2022

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