2026-07-23T04:16:34Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:10384 2024-03-06T10:30:37Z ddc:004 open_access

Cross-Dictionary Linking at Sense Level with a Double-Layer Classifier Saurí, Roser Mahon, Louis Russo, Irene Bitinis, Mironas Word sense linking word sense mapping lexical translation lexical resources language data construction multilingual data data integration across languages We present a system for linking dictionaries at the sense level, which is part of a wider programme aiming to extend current lexical resources and to create new ones by automatic means. One of the main challenges of the sense linking task is the existence of non one-to-one mappings among senses. Our system handles this issue by addressing the task as a binary classification problem using standard Machine Learning methods, where each sense pair is classified independently from the others. In addition, it implements a second, statistically-based classification layer to also model the dependence existing among sense pairs, namely, the fact that a sense in one dictionary that is already linked to a sense in the other dictionary has a lower probability of being linked to a further sense. The resulting double-layer classifier achieves global Precision and Recall scores of 0.91 and 0.80, respectively. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Roser Saurí and Louis Mahon and Irene Russo and Mironas Bitinis 2019 Is Part Of OASIcs, Volume 70, 2nd Conference on Language, Data and Knowledge (LDK 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.LDK.2019.20 urn:nbn:de:0030-drops-103848 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2019.20 eng https://creativecommons.org/licenses/by/3.0/legalcode