Ten Years of BabelNet: A Survey

Navigli, Roberto; Bevilacqua, Michele; Conia, Simone; Montagnini, Dario; Cecconi, Francesco

doi:10.24963/ijcai.2021/620

Ten Years of BabelNet: A Survey

Roberto Navigli, Michele Bevilacqua, Simone Conia, Dario Montagnini, Francesco Cecconi

Download BibTeX Cite

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Survey Track. Pages 4559-4567.

https://doi.org/10.24963/ijcai.2021/620

Keywords

Natural language processing: General

Abstract

The intelligent manipulation of symbolic knowledge has been a long-sought goal of AI. However, when it comes to Natural Language Processing (NLP), symbols have to be mapped to words and phrases, which are not only ambiguous but also language-specific: multilinguality is indeed a desirable property for NLP systems, and one which enables the generalization of tasks where multiple languages need to be dealt with, without translating text. In this paper we survey BabelNet, a popular wide-coverage lexical-semantic knowledge resource obtained by merging heterogeneous sources into a unified semantic network that helps to scale tasks and applications to hundreds of languages. Over its ten years of existence, thanks to its promise to interconnect languages and resources in structured form, BabelNet has been employed in countless ways and directions. We first introduce the BabelNet model, its components and statistics, and then overview its successful use in a wide range of tasks in NLP as well as in other fields of AI.

Roberto Navigli, Michele Bevilacqua, Simone Conia, Dario Montagnini, and Francesco Cecconi. 2021. Ten Years of BabelNet: A Survey. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4559–4567. https://doi.org/10.24963/ijcai.2021/620

@inproceedings{ijcai2021p620,
  title     = {Ten Years of BabelNet: A Survey},
  author    = {Navigli, Roberto and Bevilacqua, Michele and Conia, Simone and Montagnini, Dario and Cecconi, Francesco},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4559--4567},
  year      = {2021},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2021/620},
  url       = {https://doi.org/10.24963/ijcai.2021/620},
}

TY  - CPAPER
TI  - Ten Years of BabelNet: A Survey
AU  - Navigli, Roberto
AU  - Bevilacqua, Michele
AU  - Conia, Simone
AU  - Montagnini, Dario
AU  - Cecconi, Francesco
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4559
EP  - 4567
DO  - 10.24963/ijcai.2021/620
UR  - https://doi.org/10.24963/ijcai.2021/620
ER  -