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  1. Article

    Open Access

    Data augmentation and transfer learning for cross-lingual Named Entity Recognition in the biomedical domain

    Given the increase in production of data for the biomedical field and the unstoppable growth of the internet, the need for Information Extraction (IE) techniques has skyrocketed. Named Entity Recognition (NER)...

    Brayan Stiven Lancheros, Gloria Corpas Pastor… in Language Resources and Evaluation (2024)

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  2. No Access

    Article

    A sequence labelling approach for automatic analysis of ello: tagging pronouns, antecedents, and connective phrases

    Encapsulators are linguistic units which establish coherent referential connections to the preceding discourse in a text. In this paper, we address the challenge of automatically analysing the pronominal encap...

    Giovanni Parodi, Richard Evans, Le An Ha… in Language Resources and Evaluation (2022)

  3. No Access

    Article

    Improving translation memory matching and retrieval using paraphrases

    Most current translation memory (TM) systems work on the string level (character or word level) and lack semantic knowledge while matching. They use simple edit-distance (ED) calculated on the surface form or ...

    Rohit Gupta, Constantin Orăsan, Marcos Zampieri, Mihaela Vela… in Machine Translation (2016)

  4. No Access

    Article

    Automatic generation of multiple choice questions using dependency-based semantic relations

    In this paper, we present an unsupervised dependency-based approach to extract semantic relations to be applied in the context of automatic generation of multiple choice questions (MCQs). MCQs also known as mu...

    Naveed Afzal, Ruslan Mitkov in Soft Computing (2014)

  5. No Access

    Article

    Methods for extracting and classifying pairs of cognates and false friends

    The identification of cognates has attracted the attention of researchers working in the area of Natural Language Processing, but the identification of false friends is still an under-researched area. This pap...

    Ruslan Mitkov, Viktor Pekar, Dimitar Blagoev, Andrea Mulloni in Machine Translation (2007)

  6. No Access

    Article

    Finding translations for low-frequency words in comparable corpora

    Statistical methods to extract translational equivalents from non-parallel corpora hold the promise of ensuring the required coverage and domain customisation of lexicons as well as accelerating their compilat...

    Viktor Pekar, Ruslan Mitkov, Dimitar Blagoev, Andrea Mulloni in Machine Translation (2006)

  7. No Access

    Article

    Introduction: Special Issue on Anaphora Resolution in Machine Translation and Multilingual NLP

    Ruslan Mitkov in Machine Translation (1999)

  8. No Access

    Article

    Multilingual Anaphora Resolution

    This paper presents amultilingual robust, knowledge-poor approach to resolvingpronouns in technical manuals. This approach is a modification of the practicalapproach (Mitkov 1998a) and operates on texts pre-pr...

    Ruslan Mitkov in Machine Translation (1999)