Abstract
In a coherent text, text spans are not understood in isolation but in relation with each other through discourse relations, such as Cause, Condition, Elaboration, etc. Discourse analysis involves modeling the coherence relations between text segments which allows readers to interpret and understand the communicative purpose of text’s constitutive segments. Many natural language processing applications such as text summarization, question answering, text simplification, etc. can benefit from discourse analysis. In the proposed research project, we plan to use discourse analysis in the context of text simplification in order to enhance a text’s readability level.
I would like to thank my supervisor Dr. Leila Kosseim for the guidance, encouragement and advice she has provided throughout.
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Davoodi, E. (2015). On the Usage of Discourse Relations Across Texts with Different Readability Levels. In: Barbosa, D., Milios, E. (eds) Advances in Artificial Intelligence. Canadian AI 2015. Lecture Notes in Computer Science(), vol 9091. Springer, Cham. https://doi.org/10.1007/978-3-319-18356-5_33
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