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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 251–275 of 359 papers

TitleStatusHype
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing—0
Multi-document abstractive summarization using ILP based multi-sentence compression—0
Multi-document multilingual summarization corpus preparation, Part 1: Arabic, English, Greek, Chinese, Romanian—0
Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish—0
Multi-document multilingual summarization and evaluation tracks in ACL 2013 MultiLing Workshop—0
Multi-Document Summarization withDeterminantal Point Process Attention—0
Multi-document Summarization: A Comparative Evaluation—0
Multi-Document Summarization of Persian Text using Paragraph Vectors—0
Multi-Document Summarization using Distributed Bag-of-Words Model—0
Multi-Document Summarization using Automatic Key-Phrase Extraction—0
Multi-document Summarization Using Bipartite Graphs—0
Multi-document summarization using distortion-rate ratio—0
Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article—0
Multi-Document Summarization via Discriminative Summary Reranking—0
Multi-document Summarization via Deep Learning Techniques: A Survey—0
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations—0
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization—0
Multi-layered graph-based multi-document summarization model—0
MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations—0
Multilingual Multi-Document Summarization with POLY2—0
Multilingual Single-Document Summarization with MUSE—0
Multilingual Summarization: Dimensionality Reduction and a Step Towards Optimal Term Coverage—0
Multilingual summarization system based on analyzing the discourse structure at MultiLing 2013—0
Multiple Aspect Summarization Using Integer Linear Programming—0
Multi-Topic Multi-Document Summarizer—0
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