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Extractive Text Summarization
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Given a document, selecting a subset of the words or sentences which best represents a summary of the document.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
RankSum An unsupervised extractive text summarization based on rank fusion
Prompt-based Pseudo-labeling Strategy for Sample-Efficient Semi-Supervised Extractive Summarization
San-BERT: Extractive Summarization for Sanskrit Documents using BERT and it's variants
Align and Attend: Multimodal Summarization with Dual Contrastive Losses
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information
A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods
Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization
Multiplex Graph Neural Network for Extractive Text Summarization
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes
Topic Modeling Based Extractive Text Summarization
CX DB8: A queryable extractive summarizer and semantic search engine
DebateSum: A large-scale argument mining and summarization dataset
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
MultiGBS: A multi-layer graph approach to biomedical summarization
Screenplay Summarization Using Latent Narrative Structure
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Combining Word Embeddings and N-grams for Unsupervised Document Summarization
Extractive Summarization as Text Matching
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
Hybrid MemNet for Extractive Summarization
Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence Position
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification
Towards automatic extractive text summarization of A-133 Single Audit reports with machine learning
Discourse-Aware Neural Extractive Text Summarization
Summary Level Training of Sentence Rewriting for Abstractive Summarization
Exploring Domain Shift in Extractive Text Summarization
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