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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 301–325 of 359 papers

TitleStatusHype
Extracting News Web Page Creation Time with DCTFinder—0
LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization—0
A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization—0
Extractive Summarization using Continuous Vector Space Models—0
Improving the Estimation of Word Importance for News Multi-Document Summarization—0
Efficient Online Summarization of Microblogging Streams—0
Complex Question Answering: Unsupervised Learning Approaches and Experiments—0
Multi-Topic Multi-Document Summarizer—0
Mining the Gaps: Towards Polynomial Summarization—0
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text—0
Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach—0
Summarizing Complex Events: a Cross-Modal Solution of Storylines Extraction and Reconstruction—0
Optimized Event Storyline Generation based on Mixture-Event-Aspect Model—0
Fast Joint Compression and Summarization via Graph Cuts—0
Multi-Document Summarization using Automatic Key-Phrase Extraction—0
Answering Questions from Multiple Documents -- the Role of Multi-Document Summarization—0
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization—0
Proceedings of the MultiLing 2013 Workshop on Multilingual Multi-document Summarization—0
Using a Keyness Metric for Single and Multi Document Summarisation—0
The UWB Summariser at Multiling-2013—0
Multi-document multilingual summarization corpus preparation, Part 1: Arabic, English, Greek, Chinese, Romanian—0
CIST System Report for ACL MultiLing 2013 -- Track 1: Multilingual Multi-document Summarization—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
Multilingual Multi-Document Summarization with POLY2—0
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