Skip to main content

14 Result(s)

within Ruslan Mitkov Remove this filter Computational Linguistics Remove this filter

and

  1. No Access

    Article

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

    Ruslan Mitkov in Machine Translation (1999)

  2. 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)

  3. No Access

    Chapter and Conference Paper

    Outstanding Issues in Anaphora Resolution

    This paper argues that even though there has been considerable ad- vance in the research in anaphora resolution over the last 10 years, there are still a number of outstanding issues. The paper discusses sever...

    Ruslan Mitkov in Computational Linguistics and Intelligent Text Processing (2001)

  4. No Access

    Chapter and Conference Paper

    A New, Fully Automatic Version of Mitkov’s Knowledge-Poor Pronoun Resolution Method

    This paper describes a new, advanced and completely revamped version of Mitkov’s knowledge-poor approach to pronoun resolution [21]. In contrast to most anaphora resolution approaches, the new system, referred to...

    Ruslan Mitkov, Richard Evans… in Computational Linguistics and Intelligent … (2002)

  5. 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)

  6. 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)

  7. No Access

    Chapter and Conference Paper

    Statistical Relational Learning to Recognise Textual Entailment

    We propose a novel approach to recognise textual entailment (RTE) following a two-stage architecture – alignment and decision – where both stages are based on semantic representations. In the alignment stage t...

    Miguel Rios, Lucia Specia, Alexander Gelbukh… in Computational Linguistics and Intelligent … (2014)

  8. No Access

    Chapter

    Simple or Not Simple? A Readability Question

    Text Simplification (TS) has taken off as an important Natural Language Processing (NLP) application which promises to offer a significant societal impact in that it can be employed to the benefit of users wit...

    Sanja Štajner, Ruslan Mitkov… in Language Production, Cognition, and the Le… (2015)

  9. 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)

  10. No Access

    Chapter and Conference Paper

    Bilingual Contexts from Comparable Corpora to Mine for Translations of Collocations

    Due to the limited availability of parallel data in many languages, we propose a methodology that benefits from comparable corpora to find translation equivalents for collocations (as a specific type of diffic...

    Shiva Taslimipoor, Ruslan Mitkov… in Computational Linguistics and Intelligent … (2018)

  11. No Access

    Chapter

    Intelligent Text Processing to Help Readers with Autism

    Autistic Spectrum Disorder (ASD) is a neurodevelopmental disorder which has a life-long impact on the lives of people diagnosed with the condition. In many cases, people with ASD are unable to derive the gist ...

    Constantin Orăsan, Richard Evans… in Intelligent Natural Language Processing: T… (2018)

  12. 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)

  13. No Access

    Chapter

    Applying Incremental Learning to Post-editing Systems: Towards Online Adaptation for Automatic Post-editing Models

    Despite the increasingly good quality of automatic translations, machine-translated texts require corrections. Automatic post-editing models have been introduced to perform these corrections without human inte...

    Marie Escribe, Ruslan Mitkov in Corpora and Translation Education (2023)

  14. 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)

    Download PDF (904 KB) View Article