Now showing items 1-5 of 5

    • Continual lifelong learning in natural language processing: a survey 

      Biesialska, Magdalena Marta; Biesialska, Katarzyna; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
      Conference lecture
      Open Access
      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 learn a new task without largely forgetting ...
    • Enhancing word embeddings with knowledge extracted from lexical resources 

      Biesialska, Magdalena Marta; Rafieian, Bardia; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
      Conference lecture
      Open Access
      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 methods to better capture semantic relations ...
    • Findings of the first shared task on lifelong learning machine translation 

      Barrault, Loïc; Biesialska, Magdalena Marta; Ruiz Costa-Jussà, Marta; Bougares, Fethi; Galibert, Olivier (Association for Computational Linguistics, 2020)
      Conference lecture
      Open Access
      A 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 ...
    • Refinement of unsupervised cross-lingual word embeddings 

      Biesialska, Magdalena Marta; Ruiz Costa-Jussà, Marta (Ios Press, 2020)
      Conference lecture
      Open Access
      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 direct bilingual signal. The lion's share ...
    • The TALP-UPC system for the WMT similar language task: statistical vs neural machine translation 

      Biesialska, Magdalena Marta; Guàrdia Fernández, Lluís; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2019)
      Conference lecture
      Open Access
      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 performance of two popular approaches: statistical ...