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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 151–200 of 359 papers

TitleStatusHype
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised BaselineCode1
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document SummarizationCode1
Massive Multi-Document Summarization of Product Reviews with Weak Supervision—0
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph CompressionCode1
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization—0
Pre-training via ParaphrasingCode1
DynE: Dynamic Ensemble Decoding for Multi-Document SummarizationCode1
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist ReviewsCode0
Leveraging Graph to Improve Abstractive Multi-Document SummarizationCode0
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events PortalCode1
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document SummarizationCode1
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information ManagementCode1
A Multi-level Annotated Corpus of Scientific Papers for Scientific Document Summarization and Cross-document Relation Discovery—0
Neural Abstractive Summarization with Structural Attention—0
Query Focused Multi-Document Summarization with Distant Supervision—0
GameWikiSum: a Novel Large Multi-Document Summarization DatasetCode1
Rough Set based Aggregate Rank Measure & its Application to Supervised Multi Document Summarization—0
Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence PositionCode0
Subtopic-driven Multi-Document Summarization—0
Unsupervised Aspect-Based Multi-Document Abstractive Summarization—0
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations—0
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document InputsCode0
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization—0
Generating an Overview Report over Many Documents—0
Joint Lifelong Topic Model and Manifold Ranking for Document Summarization—0
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelCode0
Fast Concept Mention Grouping for Concept Map-based Multi-Document SummarizationCode0
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document SummarizationCode0
Scoring Sentence Singletons and Pairs for Abstractive SummarizationCode0
Hierarchical Transformers for Multi-Document SummarizationCode0
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network—0
CQASUMM: Building References for Community Question Answering Summarization CorporaCode0
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study—0
A Temporally Sensitive Submodularity Framework for Timeline SummarizationCode0
基於基因演算法的組合式多文件摘要方法 (An Ensemble Approach for Multi-document Summarization using Genetic Algorithms) [In Chinese]—0
Deep Attentive Sentence Ordering Network—0
Bottom-Up Abstractive SummarizationCode1
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document SummarizationCode0
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion—0
Ant Colony System for Multi-Document Summarization—0
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks—0
The SUMMA Platform: A Scalable Infrastructure for Multi-lingual Multi-media Monitoring—0
Abstract Meaning Representation for Multi-Document Summarization—0
Towards Generating Personalized Hospitalization Summaries—0
Using Statistical and Semantic Models for Multi-Document Summarization—0
A Repository of Corpora for Summarization—0
Auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization CorpusCode0
Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous DataCode0
Towards a Neural Network Approach to Abstractive Multi-Document Summarization—0
Content based Weighted Consensus Summarization—0
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