126 citations · 129 across the 2 of their papers we have counts for
5 papers
Continual Lifelong Learning in Natural Language Processing: A Survey
Magdalena Biesialska, Katarzyna Biesialska, Marta R. Costa-jussà
Continual learning (CL) aims to enable information systems to learn from a continuous data stream across time. However, it is difficult for existing deep learning architectures to…
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources
Magdalena Biesialska, Bardia Rafieian, Marta R. Costa-jussà
In this work, we present an effective method for semantic specialization of word vector representations. To this end, we use traditional word embeddings and apply specialization me…
Sentiment Analysis with Contextual Embeddings and Self-Attention
Katarzyna Biesialska, Magdalena Biesialska, Henryk Rybinski
In natural language the intended meaning of a word or phrase is often implicit and depends on the context. In this work, we propose a simple yet effective method for sentiment anal…
Refinement of Unsupervised Cross-Lingual Word Embeddings
Magdalena Biesialska, Marta R. Costa-jussà
Cross-lingual word embeddings aim to bridge the gap between high-resource and low-resource languages by allowing to learn multilingual word representations even without using any d…
The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation
Magdalena Biesialska, Lluis Guardia, Marta R. Costa-jussà
Although the problem of similar language translation has been an area of research interest for many years, yet it is still far from being solved. In this paper, we study the perfor…