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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 201–250 of 359 papers

TitleStatusHype
Generating Wikipedia by Summarizing Long SequencesCode0
Extractive Multi-document Summarization Using Multilayer Networks—0
Taking into account Inter-sentence Similarity for Update Summarization—0
Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization—0
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging—0
Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization—0
Multi-Document Summarization using Distributed Bag-of-Words Model—0
Affinity-Preserving Random Walk for Multi-Document Summarization—0
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization—0
Summarizing World Speak : A Preliminary Graph Based Approach—0
Learning to Score System Summaries for Better Content Selection Evaluation.—0
Multi-Document Summarization of Persian Text using Paragraph Vectors—0
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization—0
Towards Automatic Construction of News Overview Articles by News Synthesis—0
Interactive Abstractive Summarization for Event News Tweets—0
Graph-Based Approach to Recognizing CST Relations in Polish Texts—0
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization—0
Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks—0
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset—0
Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models—0
Assessing the performance of Olelo, a real-time biomedical question answering application—0
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback—0
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization—0
Graph-based Neural Multi-Document Summarization—0
Extract with Order for Coherent Multi-Document Summarization—0
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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