Luis Espinosa-Anke

Modelling Semantic Categories Using Conceptual Neighborhood

2020 · Proceedings of the AAAI Conference on Artificial Intelligence

While many methods for learning vector space embeddings have been proposed in the field of Natural Language Processing, these methods typically do not distinguish between categories and individuals. Intuitively, if individuals are represented as vectors, …

WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset

2023 · arXiv (Cornell University)

A fundamental challenge in the current NLP context, dominated by language models, comes from the inflexibility of current architectures to 'learn' new information. While model-centric solutions like continual learning or parameter-efficient fine tuning are available, …

XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

2022

Language models are ubiquitous in current NLP, and their multilingual capacity has recently attracted considerable attention.However, current analyses have almost exclusively focused on (multilingual variants of) standard benchmarks, and have relied on clean pre-training and …