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Showing 1 to 5 of 5 for “"Abstractive summarization"”.

  1. Query-Focused Abstractive Summarization using Neural Networks

    lethbridge

  2. Improving Abstractive Summarization and Information Consistency Assessment

    Summarization is the process of compressing a document into a shorter form that contains all the relevant information. It is useful in many applications, for example, a brief summary of the content of an article or a podcast can help decide whether it should be read or listened to. This …

    cambridge Repository record for Improving Abstractive Summarization and Information Consistency Assessment (opens in a new tab)

  3. Opinion driven decision support system

    … thoroughly. Further, as most of the opinion summarization systems focus on generating summaries that are highly structured, these summaries lack details that can aid decision making. In this thesis, we propose a more efficient way of leveraging opinions, that is to combine the strengths of …

    uiuc Repository record for Opinion driven decision support system (opens in a new tab)

  4. Improving faithfulness in abstractive text summarization with EDUs using BART

    lethbridge

  5. Proposition-based summarization with a coherence-driven incremental model

    Summarization models which operate on meaning representations of documents have been neglected in the past, although they are a very promising and interesting class of methods for summarization and text understanding. In this thesis, I present one such summarizer, which uses the proposition as its …

    cambridge Repository record for Proposition-based summarization with a coherence-driven incremental model (opens in a new tab)