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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
Multi-document summarization using distortion-rate ratio—0
Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article—0
Multi-Document Summarization via Discriminative Summary Reranking—0
Multi-document Summarization via Deep Learning Techniques: A Survey—0
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations—0
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization—0
Multi-layered graph-based multi-document summarization model—0
MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations—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
Multiple Aspect Summarization Using Integer Linear Programming—0
Multi-Topic Multi-Document Summarizer—0
Neighborhood Rough Set based Multi-document Summarization—0
Neural Abstractive Multi-Document Summarization: Hierarchical or Flat Structure?—0
Neural Abstractive Summarization with Structural Attention—0
Neural Sentence Ordering—0
NewsQs: Multi-Source Question Generation for the Inquiring Mind—0
News Stream Summarization using Burst Information Networks—0
Nutri-bullets Hybrid: Consensual Multi-document Summarization—0
On-Demand Distributional Semantic Distance and Paraphrasing—0
On Strategies of Human Multi-Document Summarization—0
On the Effectiveness of using Sentence Compression Models for Query-Focused Multi-Document Summarization—0
On The Feasibility of Open Domain Referring Expression Generation Using Large Scale Folksonomies—0
Optimized Event Storyline Generation based on Mixture-Event-Aspect Model—0
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization—0
Overview of the Third Workshop on Scholarly Document Processing—0
Overview of the VLSP 2022 -- Abmusu Shared Task: A Data Challenge for Vietnamese Abstractive Multi-document Summarization—0
Parallel Hierarchical Transformer with Attention Alignment for Abstractive Multi-Document Summarization—0
PeerSum: A Peer Review Dataset for Abstractive Multi-document Summarization—0
PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies—0
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization—0
Predicting Salient Updates for Disaster Summarization—0
Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese—0
Privacy-Preserving Multi-Document Summarization—0
Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors—0
Proceedings of the MultiLing 2013 Workshop on Multilingual Multi-document Summarization—0
Query-Chain Focused Summarization—0
Query-focused Multi-document Summarization: Combining a Novel Topic Model with Graph-based Semi-supervised Learning—0
Query-focused Multi-Document Summarization: Combining a Topic Model with Graph-based Semi-supervised Learning—0
Query Focused Multi-Document Summarization with Distant Supervision—0
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset—0
Reader-Aware Multi-Document Summarization via Sparse Coding—0
RelationListwise for Query-Focused Multi-Document Summarization—0
Rethinking Transformer-based Multi-document Summarization: An Empirical Investigation—0
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization—0
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization—0
Revisiting the Evaluation for Cross Document Event Coreference—0
Rough Set based Aggregate Rank Measure & its Application to Supervised Multi Document Summarization—0
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