SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 359 papers

TitleStatusHype
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization—0
System Combination for Multi-document Summarization—0
Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models—0
Taking into account Inter-sentence Similarity for Update Summarization—0
TGSum: Build Tweet Guided Multi-Document Summarization Dataset—0
The Multilingual Paraphrase Database—0
The SUMMA Platform: A Scalable Infrastructure for Multi-lingual Multi-media Monitoring—0
The UWB Summariser at Multiling-2013—0
Thread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads—0
Topic-based Multi-document Summarization using Differential Evolution forCombinatorial Optimization of Sentences—0
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles—0
Topic-Guided Abstractive Multi-Document Summarization—0
Topic Models: Accounting Component Structure of Bigrams—0
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging—0
Towards a Neural Network Approach to Abstractive Multi-Document Summarization—0
Towards Automatic Construction of News Overview Articles by News Synthesis—0
Towards Coherent Multi-Document Summarization—0
Towards Generating Personalized Hospitalization Summaries—0
Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain—0
Towards Syntax-aware Compositional Distributional Semantic Models—0
UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model—0
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization—0
Unsupervised Aspect-Based Multi-Document Abstractive Summarization—0
Unsupervised Multi-document Summarization with Holistic Inference—0
Unsupervised Multi-document Summarization for News Corpus with Key Synonyms and Contextual Embeddings—0
Unsupervised Summarization by Jointly Extracting Sentences and Keywords—0
Update Summarization Based on Co-Ranking with Constraints—0
Using a Keyness Metric for Single and Multi Document Summarisation—0
Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization—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
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text—0
Using Statistical and Semantic Models for Multi-Document Summarization—0
Utilizing Automatic Predicate-Argument Analysis for Concept Map Mining—0
Vector Space Models for Scientific Document Summarization—0
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization—0
Evaluating Pre-Trained Language Models on Multi-Document Summarization for Literature Reviews—0
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents—0
Evolutionary Hierarchical Dirichlet Process for Timeline Summarization—0
ExB Text Summarizer—0
Exploiting Category-Specific Information for Multi-Document Summarization—0
Exploiting Timegraphs in Temporal Relation Classification—0
Exploiting Timelines to Enhance Multi-document Summarization—0
Exploring Text Links for Coherent Multi-Document Summarization—0
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval—0
Exploring the limits of a base BART for multi-document summarization in the medical domain—0
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach—0
Extracting News Web Page Creation Time with DCTFinder—0
Extractive Multi-document Summarization Using Multilayer Networks—0
Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks—0
Extractive Multi-Document Summarization with Integer Linear Programming and Support Vector Regression—0
Show:102550
← PrevPage 4 of 8Next →

No leaderboard results yet.