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A Multi-Granularity Heterogeneous Graph for Extractive Text Summarization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-24797-2openalex-snapshot
Supervised Sequence Labelling with Recurrent Neural Networks
inferredcites →https://doi.org/10.1007/s11063-020-10404-7openalex-snapshot
Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints
inferredcites →https://doi.org/10.1109/2.116885openalex-snapshot
The Pegasus heterogeneous multidatabase system
inferredcites →https://doi.org/10.1109/access.2023.3250109openalex-snapshot
Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3321408.3326659openalex-snapshot
An improved TextRank keywords extraction algorithm
inferredcites →https://doi.org/10.1162/tacl_a_00297openalex-snapshot
AMR-To-Text Generation with Graph Transformer
inferredcites →https://doi.org/10.1515/text.1.1988.8.3.243openalex-snapshot
Rhetorical Structure Theory: Toward a functional theory of text organization
inferredcites →https://doi.org/10.1609/aaai.v31i1.10958openalex-snapshot
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents
inferredcites →https://doi.org/10.1609/aaai.v32i1.11912openalex-snapshot
Faithful to the Original: Fact Aware Neural Abstractive Summarization
inferredcites →https://doi.org/10.1613/jair.1523openalex-snapshot
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
inferredcites →https://doi.org/10.18535/ijecs/v5i4.40openalex-snapshot
Multi-Document Summarization Using TF-IDF Algorithm.
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.451openalex-snapshot
Discourse-Aware Neural Extractive Text Summarization
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.553openalex-snapshot
Heterogeneous Graph Neural Networks for Extractive Document Summarization
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.468openalex-snapshot
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.295openalex-snapshot
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.384openalex-snapshot
GSum: A General Framework for Guided Neural Abstractive Summarization
inferredcites →https://doi.org/10.18653/v1/d19-1324openalex-snapshot
Neural Extractive Text Summarization with Syntactic Compression
inferredcites →https://doi.org/10.18653/v1/d19-1387openalex-snapshot
Text Summarization with Pretrained Encoders
inferredcites →https://doi.org/10.18653/v1/k16-1028openalex-snapshot
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
inferredcites →https://doi.org/10.18653/v1/k17-1045openalex-snapshot
Graph-based Neural Multi-Document Summarization
inferredcites →https://doi.org/10.18653/v1/p16-1046openalex-snapshot
Neural Summarization by Extracting Sentences and Words
inferredcites →https://doi.org/10.18653/v1/p16-1188openalex-snapshot
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
inferredcites →https://doi.org/10.18653/v1/p17-1108openalex-snapshot
Abstractive Document Summarization with a Graph-Based Attentional Neural Model
inferredcites →https://doi.org/10.18653/v1/p18-1061openalex-snapshot
Neural Document Summarization by Jointly Learning to Score and Select Sentences
inferredcites →https://doi.org/10.18653/v1/p19-1100openalex-snapshot
Searching for Effective Neural Extractive Summarization: What Works and What’s Next
inferredcites →https://doi.org/10.18653/v1/p19-1499openalex-snapshot
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
inferredcites →https://doi.org/10.18653/v1/p19-1500openalex-snapshot
Hierarchical Transformers for Multi-Document Summarization
inferredcites →https://doi.org/10.21512/comtech.v7i4.3746openalex-snapshot
Single Document Automatic Text Summarization using Term Frequency-Inverse Document Frequency (TF-IDF)
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/p14-1062openalex-snapshot
A Convolutional Neural Network for Modelling Sentences
inferredcites →https://doi.org/10.3390/electronics12020437openalex-snapshot
Extractive Arabic Text Summarization-Graph-Based Approach
inferredcites →https://doi.org/10.48550/arxiv.1612.04883openalex-snapshot
Graph Summarization Methods and Applications: A Survey
inferredcites →https://doi.org/10.48550/arxiv.1706.00359openalex-snapshot
Discovering Discrete Latent Topics with Neural Variational Inference
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s40010-026-01208-wopenalex-snapshot
Enhancing Text Summarization with Diverse Regression Models and Node2Vec in Low-Resource Indian Languages
inferred← citeshttps://doi.org/10.1016/j.array.2025.100671openalex-snapshot
Improve semantic similarity based on statistical approach and LLM based transformer model for extractive summarization
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131287openalex-snapshot
A systematic review of long document summarization methods: Evaluation metrics and approaches
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2024.105889openalex-snapshot
Multi-granularity retrieval of mineral resource geological reports based on multi-feature association
inferred← citeshttps://doi.org/10.1109/access.2025.3553755openalex-snapshot
Global and Local Context Fusion in Heterogeneous Graph Neural Network for Summarizing Lengthy Scientific Documents
inferred← citeshttps://doi.org/10.1109/aisp61396.2024.10475307openalex-snapshot
ConHGNN-SUM: A Contextualized Heterogeneous Graph Neural Network for Extractive Text Summarization
inferred← citeshttps://doi.org/10.1109/icaiet65052.2025.11211425openalex-snapshot
Analysing Text Summarization Techniques: Extractive & Abstractive Methods
inferred← citeshttps://doi.org/10.18280/ria.370513openalex-snapshot
Enhancing Text Summarization with a T5 Model and Bayesian Optimization
inferred← citeshttps://doi.org/10.3233/jifs-234709openalex-snapshot
Dilated convolution for enhanced extractive summarization: A GAN-based approach with BERT word embedding
inferred← citeshttps://doi.org/10.32604/cmc.2024.053488openalex-snapshot
Enhanced Topic-Aware Summarization Using Statistical Graph Neural Networks
inferred← citeshttps://doi.org/10.3390/app14114553openalex-snapshot
Graph Stream Compression Scheme Based on Pattern Dictionary Using Provenance
inferred← citeshttps://doi.org/10.3390/sym17122127openalex-snapshot
Automatic Text Summary Method Based on Optimized K-Means Clustering Algorithm with Symmetry and Maximal-Marginal-Relevance Algorithm
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