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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 151–175 of 359 papers

TitleStatusHype
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models—0
Do Multi-Document Summarization Models Synthesize?—0
Assessing the performance of Olelo, a real-time biomedical question answering application—0
A Method of Accounting Bigrams in Topic Models—0
ACL 2013 MultiLing Pilot Overview—0
Abstractive Multi-Document Summarization via Phrase Selection and Merging—0
Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization—0
Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature—0
Detection of Topic and its Extrinsic Evaluation Through Multi-Document Summarization—0
A Spectral Method for Unsupervised Multi-Document Summarization—0
Deep Attentive Sentence Ordering Network—0
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization—0
Deconstructing Human Literature Reviews -- A Framework for Multi-Document Summarization—0
Data-driven Paraphrasing and Stylistic Harmonization—0
A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization—0
Abstract Meaning Representation for Multi-Document Summarization—0
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization—0
Joint semantic discourse models for automatic multi-document summarization—0
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback—0
Creation and use of Language Resources in a Question-Answering eHealth System—0
A Repository of Corpora for Summarization—0
Joint Lifelong Topic Model and Manifold Ranking for Document Summarization—0
基于实体信息增强及多粒度融合的多文档摘要(Multi-Document Summarization Based on Entity Information Enhancement and Multi-Granularity Fusion)—0
LAG: LLM agents for Leaderboard Auto Generation on Demanding—0
Interactive Abstractive Summarization for Event News Tweets—0
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