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  1. Cooper, Michael [Author]; Shardlow, Matthew [Author]

    CombiNMT: An Exploration into Neural Text Simplification Models

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    2020

    Published in: International Conference on Language Resources and Evaluation (12. : 2020 : Marseille): LREC 2020 Marseille ; (2020), Seite 5588-5594

  2. Shardlow, Matthew [Author]; Cooper, Michael [Author]; Zampieri, Marcos [Author]

    CompLex - A New Corpus for Lexical Complexity Prediction from Likert Scale Data

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    2020

    Published in: Workshop on Tools and Resources to Empower People with REAding DIfficulties (1. : 2020 : Marseille): 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI) ; (2020), Seite 57-62

  3. Kochmar, Ekaterina [Author]; Gooding, Sian [Author]; Shardlow, Matthew [Author]

    Detecting Multiword Expression Type Helps Lexical Complexity Assessment

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    2020

    Published in: International Conference on Language Resources and Evaluation (12. : 2020 : Marseille): LREC 2020 Marseille ; (2020), Seite 4426-4435

  4. Vásquez-Rodríguez, Laura [Author]; Shardlow, Matthew [Author]; Przybyła, Piotr [Author]; Ananiadou, Sophia [Author]

    The Role of Text Simplification Operations in Evaluation

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    2021

    Published in: Workshop on Current Trends in Text Simplification (1. : 2021 : Online): CTTS 2021: Current Trends in Text Simplification ; (2021), Seite 57-69

  5. Di Basilio, Daniela; King, Lorraine; Lloyd, Sarah; Michael, Panayiotis; Shardlow, Matthew

    Asking questions that are “close to the bone”: integrating thematic analysis and natural language processing to explore the experiences of people with traumatic brain injuries engaging with patient-reported outcome measures

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    Frontiers Media SA, 2024

    Published in: Frontiers in Digital Health, 6 (2024)

  6. Nawaz, Raheel; Sun, Quanbin; Shardlow, Matthew; Kontonatsios, Georgios; Aljohani, Naif R.; Visvizi, Anna; Hassan, Saeed-Ul

    Leveraging AI and Machine Learning for National Student Survey: Actionable Insights from Textual Feedback to Enhance Quality of Teaching and Learning in UK’s Higher Education

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    MDPI AG, 2022

    Published in: Applied Sciences, 12 (2022) 1, Seite 514