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Multi-Document Summarization

Multi-Document Summarization is a process of representing a set of documents with a short piece of text by capturing the relevant information and filtering out the redundant information. Two prominent approaches to Multi-Document Summarization are extractive and abstractive summarization. Extractive summarization systems aim to extract salient snippets, sentences or passages from documents, while abstractive summarization systems aim to concisely paraphrase the content of the documents.

Source: Multi-Document Summarization using Distributed Bag-of-Words Model

Papers

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Showing 126–150 of 359 papers

TitleStatusHype
Extractive Multi-Document Summarization with Integer Linear Programming and Support Vector Regression—0
Exploiting Timelines to Enhance Multi-document Summarization—0
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges—0
Analyzing Stemming Approaches for Turkish Multi-Document Summarization—0
Exploiting Timegraphs in Temporal Relation Classification—0
Exploiting Category-Specific Information for Multi-Document Summarization—0
ExB Text Summarizer—0
Evolutionary Hierarchical Dirichlet Process for Timeline Summarization—0
Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach—0
Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization—0
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study—0
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents—0
Evaluating Pre-Trained Language Models on Multi-Document Summarization for Literature Reviews—0
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization—0
A Multi-level Annotated Corpus of Scientific Papers for Scientific Document Summarization and Cross-document Relation Discovery—0
Entity-Supported Summarization of Biomedical Abstracts—0
Entity-Aware Abstractive Multi-Document Summarization—0
End-to-end Argument Generation System in Debating—0
Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews—0
ACM -- Attribute Conditioning for Abstractive Multi Document Summarization—0
Efficient Online Summarization of Microblogging Streams—0
A Supervised Aggregation Framework for Multi-Document Summarization—0
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
DualSum: a Topic-Model based approach for update summarization—0
A Subjective Logic Framework for Multi-Document Summarization—0
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