You are here

A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
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.
Proceedings: 
Proceedings of the 12th Language Resource and Evaluation Conference (LREC 2020)
Digital Object Identifer (DOI): 
10.5281/zenodo.3842647
Publication Date: 
06/12/2020
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes