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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 226–250 of 359 papers

TitleStatusHype
Extractive Summarization: Limits, Compression, Generalized Model and Heuristics—0
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept MapsCode0
Centroid-based Text Summarization through Compositionality of Word EmbeddingsCode0
Utilizing Automatic Predicate-Argument Analysis for Concept Map Mining—0
Entity-Supported Summarization of Biomedical Abstracts—0
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm IntelligenceCode0
Exploring Text Links for Coherent Multi-Document Summarization—0
Revisiting the Evaluation for Cross Document Event Coreference—0
The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction ApproachCode0
Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sourcesCode0
An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model—0
Abstractive News Summarization based on Event Semantic Link Network—0
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization—0
Improving Multi-Document Summarization via Text Classification—0
News Stream Summarization using Burst Information Networks—0
Multi-document abstractive summarization using ILP based multi-sentence compression—0
An Entity-Focused Approach to Generating Company Descriptions—0
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization—0
MDSWriter: Annotation Tool for Creating High-Quality Multi-Document Summarization CorporaCode0
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization—0
Neural Sentence Ordering—0
Int\'egration de la similarit\'e entre phrases comme crit\`ere pour le r\'esum\'e multi-document (Integrating sentence similarity as a constraint for multi-document summarization)—0
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization—0
Sort Story: Sorting Jumbled Images and Captions into Stories—0
Data-driven Paraphrasing and Stylistic Harmonization—0
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