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Extractive Summarization

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TitleStatusHype
A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling—0
Leveraging Discourse Structure for Extractive Meeting Summarization—0
LLM aided semi-supervision for Extractive Dialog Summarization—0
Lotus: Creating Short Videos From Long Videos With Abstractive and Extractive Summarization—0
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches—0
MUG: A General Meeting Understanding and Generation Benchmark—0
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations—0
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization—0
MultiHumES: Multilingual Humanitarian Dataset for Extractive Summarization—0
Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus—0
Advancements in Natural Language Processing for Automatic Text Summarization—0
Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)—0
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network—0
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization—0
Neural Latent Extractive Document Summarization—0
Neural Network-Based Abstract Generation for Opinions and Arguments—0
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle—0
News Editorials: Towards Summarizing Long Argumentative Texts—0
News Image Steganography: A Novel Architecture Facilitates the Fake News Identification—0
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection—0
NUTS: Network for Unsupervised Telegraphic Summarization—0
CAWESumm: A Contextual and Anonymous Walk Embedding Based Extractive Summarization of Legal Bills—0
Automatic Text Extractive Summarization Based on Graph and Pre-trained Language Model Attention—0
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies—0
Opinions Summarization: Aspect Similarity Recognition Relaxes The Constraint of Predefined Aspects—0
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