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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
Chapter 7 Review of Data-Driven Generative AI Models for Knowledge Extraction from Scientific Literature in Healthcare—0
Overview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)—0
paht_nlp @ MEDIQA 2021: Multi-grained Query Focused Multi-Answer Summarization—0
Park. Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean—0
Personalized Extractive Summarization Using an Ising Machine Towards Real-time Generation of Efficient and Coherent Dialogue Scenarios—0
PORTRAIT: a hybrid aPproach tO cReate extractive ground-TRuth summAry for dIsaster evenT—0
Post-Editing Extractive Summaries by Definiteness Prediction—0
CHIMA: Headline-Guided Extractive Summarization for Thai News Articles—0
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach—0
Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function—0
Query-based summarization using MDL principle—0
Query-Focused EHR Summarization to Aid Imaging Diagnosis—0
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization—0
Classify or Select: Neural Architectures for Extractive Document Summarization—0
Ranking sentences from product description & bullets for better search—0
Readability Controllable Biomedical Document Summarization—0
Redundancy Aware Multi-Reference Based Gainwise Evaluation of Extractive Summarization—0
Reinforced Extractive Summarization with Question-Focused Rewards—0
Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE?—0
CNLP-NITS @ LongSumm 2021: TextRank Variant for Generating Long Summaries—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
San-BERT: Extractive Summarization for Sanskrit Documents using BERT and it's variants—0
Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization—0
Scientific Paper Extractive Summarization Enhanced by Citation Graphs—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
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