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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 51–75 of 359 papers

TitleStatusHype
ACM -- Attribute Conditioning for Abstractive Multi Document Summarization—0
A Method of Accounting Bigrams in Topic Models—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
Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization—0
Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach—0
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges—0
Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach—0
Automatic Related Work Generation: A Meta Study—0
BASS: Boosting Abstractive Summarization with Unified Semantic Graph—0
Benchmarking LLMs on the Semantic Overlap Summarization Task—0
BERT-VBD: Vietnamese Multi-Document Summarization Framework—0
Detection of Topic and its Extrinsic Evaluation Through Multi-Document Summarization—0
Do Multi-Document Summarization Models Synthesize?—0
A Spectral Method for Unsupervised Multi-Document Summarization—0
Abstract Meaning Representation for Multi-Document Summarization—0
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization—0
A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization—0
Data-driven Paraphrasing and Stylistic Harmonization—0
A Repository of Corpora for Summarization—0
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization—0
A Hybrid Approach to Multi-document Summarization of Opinions in Reviews—0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—0
Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization—0
Deconstructing Human Literature Reviews -- A Framework for Multi-Document Summarization—0
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