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 101–150 of 359 papers

TitleStatusHype
ELSKE: Efficient Large-Scale Keyphrase ExtractionCode0
Improving Fairness of Large Language Models in Multi-document SummarizationCode0
Fair Summarization: Bridging Quality and Diversity in Extractive SummariesCode0
A Multi-Document Coverage Reward for RELAXed Multi-Document SummarizationCode0
Scoring Sentence Singletons and Pairs for Abstractive SummarizationCode0
GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document SummarizationCode0
How "Multi" is Multi-Document Summarization?Code0
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document SummarizationCode0
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News SummarizationCode0
An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature ReviewCode0
Leveraging Graph to Improve Abstractive Multi-Document SummarizationCode0
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelCode0
The Power of Summary-Source AlignmentsCode0
BERT-VBD: Vietnamese Multi-Document Summarization Framework—0
Benchmarking LLMs on the Semantic Overlap Summarization Task—0
An Entity-Focused Approach to Generating Company Descriptions—0
BASS: Boosting Abstractive Summarization with Unified Semantic Graph—0
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach—0
Automatic Related Work Generation: A Meta Study—0
An Assessment of the Accuracy of Automatic Evaluation in Summarization—0
Exploring the limits of a base BART for multi-document summarization in the medical domain—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
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval—0
Extractive Multi-Document Summarization with Integer Linear Programming and Support Vector Regression—0
Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach—0
Exploring Text Links for Coherent Multi-Document Summarization—0
Exploiting Timelines to Enhance Multi-document Summarization—0
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges—0
Analyzing Stemming Approaches for Turkish Multi-Document Summarization—0
Exploiting Timegraphs in Temporal Relation Classification—0
Exploiting Category-Specific Information for Multi-Document Summarization—0
ExB Text Summarizer—0
Evolutionary Hierarchical Dirichlet Process for Timeline Summarization—0
Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach—0
Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization—0
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study—0
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents—0
Evaluating Pre-Trained Language Models on Multi-Document Summarization for Literature Reviews—0
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization—0
A Multi-level Annotated Corpus of Scientific Papers for Scientific Document Summarization and Cross-document Relation Discovery—0
Entity-Supported Summarization of Biomedical Abstracts—0
Entity-Aware Abstractive Multi-Document Summarization—0
End-to-end Argument Generation System in Debating—0
Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews—0
ACM -- Attribute Conditioning for Abstractive Multi Document Summarization—0
Efficient Online Summarization of Microblogging Streams—0
A Supervised Aggregation Framework for Multi-Document Summarization—0
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
Show:102550
← PrevPage 3 of 8Next →

No leaderboard results yet.