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 251–300 of 359 papers

TitleStatusHype
Monolingual vs multilingual BERTology for Vietnamese extractive multi-document summarization—0
Moving beyond word lists: towards abstractive topic labels for human-like topics of scientific documents—0
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing—0
Multi-document abstractive summarization using ILP based multi-sentence compression—0
Multi-document multilingual summarization corpus preparation, Part 1: Arabic, English, Greek, Chinese, Romanian—0
Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish—0
Multi-document multilingual summarization and evaluation tracks in ACL 2013 MultiLing Workshop—0
Multi-Document Summarization withDeterminantal Point Process Attention—0
Multi-document Summarization: A Comparative Evaluation—0
Multi-Document Summarization of Persian Text using Paragraph Vectors—0
Multi-Document Summarization using Distributed Bag-of-Words Model—0
Multi-Document Summarization using Automatic Key-Phrase Extraction—0
Multi-document Summarization Using Bipartite Graphs—0
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
Error Analysis of using BART for Multi-Document Summarization: A Study for English and German LanguageCode0
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document SummarizationCode0
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist ReviewsCode0
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource LanguagesCode0
Non-Parametric Memory Guidance for Multi-Document SummarizationCode0
Corpora Evaluation and System Bias Detection in Multi-document SummarizationCode0
SumREN: Summarizing Reported Speech about Events in NewsCode0
Nutri-bullets: Summarizing Health Studies by Composing SegmentsCode0
MDSWriter: Annotation Tool for Creating High-Quality Multi-Document Summarization CorporaCode0
OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access SourcesCode0
Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous DataCode0
Revisiting Sentence Union Generation as a Testbed for Text ConsolidationCode0
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News SummarizationCode0
Extending Multi-Document Summarization Evaluation to the Interactive SettingCode0
Extending Multi-Text Sentence Fusion Resources via Pyramid AnnotationsCode0
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document SummarizationCode0
Modeling Endorsement for Multi-Document Abstractive SummarizationCode0
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm IntelligenceCode0
Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence PositionCode0
Show:102550
← PrevPage 6 of 8Next →

No leaderboard results yet.