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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)

  2. 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)

  3. 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)

  4. No Access

    Book and Conference Proceedings

    Computational and Corpus-Based Phraseology

    4th International Conference, Europhras 2022, Malaga, Spain, 28-30 September, 2022, Proceedings

    Gloria Corpas Pastor, Ruslan Mitkov in Lecture Notes in Computer Science (2022)

  5. 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)

  6. 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)

  7. 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)

  8. No Access

    Chapter and Conference Paper

    A Dynamic Programming Approach to Improving Translation Memory Matching and Retrieval Using Paraphrases

    Translation memory tools lack semantic knowledge like paraphrasing when they perform matching and retrieval. As a result, paraphrased segments are often not retrieved. One of the primary reasons for this is th...

    Rohit Gupta, Constantin Orăsan, Qun Liu, Ruslan Mitkov in Text, Speech, and Dialogue (2016)

  9. 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)

  10. 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)

  11. 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)

  12. No Access

    Book and Conference Proceedings

    Statistical Language and Speech Processing

    First International Conference, SLSP 2013, Tarragona, Spain, July 29-31, 2013. Proceedings

    Adrian-Horia Dediu, Carlos Martín-Vide in Lecture Notes in Computer Science (2013)

  13. No Access

    Chapter and Conference Paper

    Ranking Machine Translation Systems via Post-editing

    In this paper we investigate ways in which information from the post-editing of machine translations can be used to rank translation systems for quality. In addition to the commonly used edit distance between ...

    Wilker Aziz, Ruslan Mitkov, Lucia Specia in Text, Speech, and Dialogue (2013)

  14. No Access

    Chapter and Conference Paper

    Coreference Resolution: To What Extent Does It Help NLP Applications?

    This paper describes a study of the impact of coreference resolution on NLP applications. Further to our previous study [1], in which we investigated whether anaphora resolution could be beneficial to NLP appl...

    Ruslan Mitkov, Richard Evans, Constantin Orăsan in Text, Speech and Dialogue (2012)

  15. No Access

    Book and Conference Proceedings

    Anaphora Processing and Applications

    8th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2011, Faro, Portugal, October 6-7, 2011. Revised Selected Papers

    Iris Hendrickx, Sobha Lalitha Devi in Lecture Notes in Computer Science (2011)

  16. No Access

    Chapter and Conference Paper

    Unsupervised Relation Extraction Using Dependency Trees for Automatic Generation of Multiple-Choice Questions

    In this paper, we investigate an unsupervised approach to Relation Extraction to be applied in the context of automatic generation of multiple-choice questions (MCQs). MCQs are a popular large-scale assessment...

    Naveed Afzal, Ruslan Mitkov, Atefeh Farzindar in Advances in Artificial Intelligence (2011)

  17. No Access

    Chapter and Conference Paper

    Identification of Translationese: A Machine Learning Approach

    This paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in order to determine the chara...

    Iustina Ilisei, Diana Inkpen in Computational Linguistics and Intelligent … (2010)

  18. No Access

    Book and Conference Proceedings

    Anaphora Processing and Applications

    7th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2009 Goa, India, November 5-6, 2009 Proceedings

    Sobha Lalitha Devi, António Branco in Lecture Notes in Computer Science (2009)

  19. 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)

  20. No Access

    Chapter and Conference Paper

    Anaphora Resolution: To What Extent Does It Help NLP Applications?

    Papers discussing anaphora resolution algorithms or systems usually focus on the intrinsic evaluation of the algorithm/system and not on the issue of extrinsic evaluation. In the context of anaphora resolution, e...

    Ruslan Mitkov, Richard Evans in Anaphora: Analysis, Algorithms and Applica… (2007)

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