Global ETD Search

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Showing 1 to 11 of 11 for “"multi-document summarization"”.

  1. Semi-extractive multi-document summarization

    lethbridge

  2. Abstractive multi-document summarization - paraphrasing and compressing with neural networks

    lethbridge

  3. Multi-document summarization based on document clustering and neural sentence fusion

    lethbridge

  4. Combining state-of-the-art models for multi-document summarization using maximal marginal relevance

    lethbridge

  5. Toward abstractive multi-document summarization using submodular function-based framework, sentence compression and merging

    lethbridge

  6. A Study on the Application of Natural Language Processing Methods to Scientific Text

    … literature (sometimes called "scholarly document processing'' or SDP) has enabled literature-scale information extraction, precise search across 100s of millions of papers, and automatic summarization. In this dissertation, I study the methods behind these applications to (1) understand …

    toronto-retro Repository record for A Study on the Application of Natural Language Processing Methods to Scientific Text (opens in a new tab)

  7. Learning human beliefs with language models

    … introduce a model for automatically summarizing multiple documents about the same subject, which we apply to opinionated posts found on popular review websites. Summaries can help organize large amounts of often siloed information, and help people understand the most salient viewpoints from …

    mit Repository record for Learning human beliefs with language models (opens in a new tab)

  8. Contrastive Text Generation

    … focuses on developing summaries that present multiple view-points on issues of interest. Such capacity is important in many areas like medical studies, where articles may not agree with each other. While the automatic summarization methods developed in the recent decade excel in single …

    mit Repository record for Contrastive Text Generation (opens in a new tab)

  9. Event-related Collections Understanding and Services

    … and male-related tweeters through multiple features with both machine learning (i.e., random forest classifier) and deep learning (i.e., an 18-layer ResNet) techniques. As guidance to user-centered social research at the information level, we combine TwiRole with a pre-trained …

    vt Repository record for Event-related Collections Understanding and Services (opens in a new tab)

  10. Query-Focused Abstractive Summarization using Neural Networks

    lethbridge