Exploració per autor "Biesialska, Magdalena Marta"
Ara es mostren els items 1-6 de 6
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Continual lifelong learning in natural language processing: a survey
(Association for Computational Linguistics, 2020)
Comunicació de congrés
Accés obertContinual 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 learn a new task without largely forgetting ... -
Enhancing word embeddings with knowledge extracted from lexical resources
(Association for Computational Linguistics, 2020)
Comunicació de congrés
Accés obertIn 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 methods to better capture semantic relations ... -
Findings of the first shared task on lifelong learning machine translation
(Association for Computational Linguistics, 2020)
Comunicació de congrés
Accés obertA lifelong learning system can adapt to new data without forgetting previously acquired knowledge. In this paper, we introduce the first benchmark for lifelong learning machine translation. For this purpose, we provide ... -
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis
(Springer Nature, 2021-12-01)
Article
Accés obertPeople express their opinions and views in different and often ambiguous ways, hence the meaning of their words is often not explicitly stated and frequently depends on the context. Therefore, it is difficult for machines ... -
Refinement of unsupervised cross-lingual word embeddings
(Ios Press, 2020)
Comunicació de congrés
Accés obertCross-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 direct bilingual signal. The lion's share ... -
The TALP-UPC system for the WMT similar language task: statistical vs neural machine translation
(Association for Computational Linguistics, 2019)
Comunicació de congrés
Accés obertAlthough 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 performance of two popular approaches: statistical ...
