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

  1. Semi-extractive multi-document summarization

    Ghiyafeh Davoodi, Fatemeh, University of Lethbridge. Faculty of Arts and ScienceLethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science2015

    … constraint (MCKP) based model for extractive multi-document summarization. The model integrates three measures to detect important sentences including Coverage, rewards sentences in regards to their representative level of the whole document, Relevance, focuses to select sentences that related …

    lethbridge Repository record

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

    Egonmwan, Elozino Ofualagba, University of Lethbridge. Faculty of Arts and Science2020

    lethbridge

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

    Fuad, Tanvir Ahmed, University of Lethbridge. Faculty of Arts and Science2018

    lethbridge

  4. Multi-document summarization based on atomic semantic events and their temporal relationss

    Uddin, Md Mohsin2014

    lethbridge

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

    Adams, David, University of Lethbridge. Faculty of Arts and Science2021

    lethbridge

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

    Tanvee, Moin Mahmud, University of Lethbridge. Faculty of Arts and Science2016

    lethbridge

  7. Query-Focused Abstractive Summarization using Neural Networks

    Aryal, Chudamani, University of Lethbridge. Faculty of Arts and ScienceLethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science2019

    Query-focused abstractive document summarization (QFADS) is a process of shortening a document into a summary while keeping the context of query in mind. We implemented a model consisting of a novel selective mechanism for QFADS. A selective mechanism was used for improving the representation of a …

    lethbridge Repository record

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

    Giorgi, John Michael2024

    … 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

  9. Learning human beliefs with language models

    Chu, EricMassachusetts Institute of Technology2022

    … 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

  10. Contrastive Text Generation

    Shah, Darsh J.Massachusetts Institute of Technology2021

    … 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

  11. Event-related Collections Understanding and Services

    Li, LiuqingVirginia Tech2020

    … 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