1. Random walks for knowledge-based word sense disambiguation;Agirre;Association for Computational Linguistics,2014
2. Extended gloss overlaps as a measure of semantic relatedness;Banerjee,2013
3. Basile, P., Caputo, A., & Semeraro, G. (2014). An enhanced lesk word sense disambiguation algorithm through a distributional semantic model. In Proceedings of the 25th international conference on computational linguistics: Technical papers (pp. 1591–1600).
4. Bevilacqua, M., & Navigli, R. (2020). Breaking through the 80% glass ceiling: Raising the state of the art in word sense disambiguation by incorporating knowledge graph information. In Proceedings of the 58th annual meeting of the association for computational linguistics (pp. 2854–2864).
5. Bevilacqua, M., Pasini, T., Raganato, A., & Navigli, R. (2021). Recent trends in word sense disambiguation: A survey. In Proceedings of the thirtieth international joint conference on artificial intelligence (pp. 4330–4338).