Ignacio Iacobacci

Embeddings for Word Sense Disambiguation: An Evaluation Study

2016

Recent years have seen a dramatic growth in the popularity of word embeddings mainly owing to their ability to capture semantic information from massive amounts of textual content. As a result, many tasks in Natural …

Embedding Words and Senses Together via Joint Knowledge-Enhanced Training

2016 · arXiv (Cornell University)

Word embeddings are widely used in Natural Language Processing, mainly due to their success in capturing semantic information from massive corpora. However, their creation process does not allow the different meanings of a word to …

Hierarchical Recurrent Aggregative Generation for Few-Shot NLG

2022 · Findings of the Association for Computational Linguistics: ACL 2022

Large pretrained models enable transfer learning to low-resource domains for language generation tasks. However, previous end-to-end approaches do not account for the fact that some generation sub-tasks, specifically aggregation and lexicalisation, can benefit from transfer …

SensEmbed: Learning Sense Embeddings for Word and Relational Similarity

2015

Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.