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  • 1.
    Falkenjack, Johan
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Rennes, Evelina
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Fahlborg, Daniel
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Johansson, Vida
    Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Arts and Sciences.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.
    Services for text simplification and analysis2017In: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, Linköping University Electronic Press, 2017, Vol. 131, p. 309-313, article id 044Conference paper (Refereed)
    Abstract [en]

    We present a language technology service for web editors’ work on making texts easier to understand, including tools for text complexity analysis, text simplification and text summarization. We also present a text analysis service focusing on measures of text complexity.

  • 2.
    Jönsson, Simon
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Rennes, Evelina
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Falkenjack, Johan
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    A Component based Approach to Measuring Text Complexity2018Conference paper (Other academic)
    Abstract [en]

    We present results from assessing text complexity based on a factorisation of text property measures into components. The components are evaluated by investigating their ability to classify texts belonging to different genres. Our results show that the text complexity components correctly classify texts belonging to specific genres, given that the genres adhere to certain textual conventions. We also propose a radar chart visualisation to communicate component based text complexity.

  • 3.
    Rennes, Evelina
    et al.
    SICS East Swedish ICT AB, Sweden.
    Jönsson, Arne
    SICS East Swedish ICT AB, Sweden.
    A Tool for Automatic Simplification of Swedish Texts2015In: Proceedings of the 20th Nordic Conference of Computational Linguistics (NoDaLiDa-2015), Vilnius, Lithuania, 2015, p. 317-320Conference paper (Refereed)
    Abstract [en]

    We present a rule based automatic text simplification tool for Swedish. The tool is designed to facilitate experimentation with various simplification techniques. The architecture of the tool is inspired by and partly built on a previous text simplification tool for Swedish, CogFLUX. New functionality, new operation types, and new simplification operations were added.

  • 4.
    Rennes, Evelina
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.
    The Impact of Cohesion Errors in Extraction Based Summaries2014In: LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, European Language Resources Association, 2014, p. 1575-1582Conference paper (Refereed)
    Abstract [en]

    We present results from an eye tracking study of automatic text summarization. Automatic text summarization is a growing field due to the modern world’s Internet based society, but to automatically create perfect summaries is challenging. One problem is that extraction based summaries often have cohesion errors. By the usage of an eye tracking camera, we have studied the nature of four different types of cohesion errors occurring in extraction based summaries. A total of 23 participants read and rated four different texts and marked the most difficult areas of each text. Statistical analysis of the data revealed that absent cohesion or context and broken anaphoric reference (pronouns) caused some disturbance in reading, but that the impact is restricted to the effort to read rather than the comprehension of the text. However, erroneous anaphoric references (pronouns) were not always detected by the participants which poses a problem for automatic text summarizers. The study also revealed other potential disturbing factors.

1 - 4 of 4
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