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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 301–350 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
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
ACL 2013 MultiLing Pilot Overview—0
Deconstructing Human Literature Reviews -- A Framework for Multi-Document Summarization—0
Evolutionary Hierarchical Dirichlet Process for Timeline Summarization—0
Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain—0
Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors—0
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning—0
Using POMDPs for Topic-Focused Multi-Document Summarization (L'utilisation des POMDP pour les r\'esum\'es multi-documents orient\'es par une th\'ematique) [in French]—0
A Preliminary Study of Tweet Summarization using Information Extraction—0
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models—0
Towards Coherent Multi-Document Summarization—0
A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization—0
Query-focused Multi-document Summarization: Combining a Novel Topic Model with Graph-based Semi-supervised Learning—0
Update Summarization Based on Co-Ranking with Constraints—0
A Subjective Logic Framework for Multi-Document Summarization—0
SentTopic-MultiRank: a Novel Ranking Model for Multi-Document Summarization—0
Extractive Multi-Document Summarization with Integer Linear Programming and Support Vector Regression—0
Exploiting Category-Specific Information for Multi-Document Summarization—0
RelationListwise for Query-Focused Multi-Document Summarization—0
On the Effectiveness of using Sentence Compression Models for Query-Focused Multi-Document Summarization—0
A Supervised Aggregation Framework for Multi-Document Summarization—0
Thread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads—0
Framework of Automatic Text Summarization Using Reinforcement Learning—0
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