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Extractive Summarization

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TitleStatusHype
At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization—0
BERT Fine-tuning For Arabic Text SummarizationCode0
Abstractive Summarization for Low Resource Data using Domain Transfer and Data Synthesis—0
Attend to the beginning: A study on using bidirectional attention for extractive summarizationCode0
Audio Summarization with Audio Features and Probability Distribution Divergence—0
Hybrid MemNet for Extractive Summarization—0
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization—0
EBSUM: 基於 BERT 的強健性抽取式摘要法 (EBSUM: An Enhanced BERT-based Extractive Summarization Framework)—0
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification—0
Towards automatic extractive text summarization of A-133 Single Audit reports with machine learning—0
Reading Like HER: Human Reading Inspired Extractive SummarizationCode0
Exploiting Discourse-Level Segmentation for Extractive Summarization—0
Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations—0
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction—0
Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations—0
EBSUM: 基於BERT 的強健性抽取式摘要法(EBSUM: An Enhanced BERT-based Extractive Summarization Framework)—0
VAE-PGN based Abstractive Model in Multi-stage Architecture for Text Summarization—0
A Closer Look at Data Bias in Neural Extractive Summarization Models—0
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization—0
Extractive Summarization of Long Documents by Combining Global and Local ContextCode0
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle—0
A topic-based sentence representation for extractive text summarization—0
Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus—0
Opinions Summarization: Aspect Similarity Recognition Relaxes The Constraint of Predefined Aspects—0
A study of semantic augmentation of word embeddings for extractive summarization—0
Facet-Aware Evaluation for Extractive SummarizationCode0
STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence EmbeddingsCode0
Ranking sentences from product description & bullets for better search—0
Searching for Effective Neural Extractive Summarization: What Works and What's NextCode0
Self-Supervised Learning for Contextualized Extractive SummarizationCode0
Leveraging BERT for Extractive Text Summarization on LecturesCode0
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelCode0
Plain English Summarization of ContractsCode0
Single Document Summarization as Tree InductionCode0
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction—0
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization—0
Extractive Summarization via Weighted Dissimilarity and Importance Aligned Key Iterative AlgorithmCode0
Guiding Extractive Summarization with Question-Answering RewardsCode0
Jointly Extracting and Compressing Documents with Summary State RepresentationsCode0
Fine-tune BERT for Extractive SummarizationCode1
Imbalanced multi-label classification using multi-task learning with extractive summarizationCode0
What comes next? Extractive summarization by next-sentence prediction—0
Automatic Summarization of Natural Language—0
Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records—0
Automatic Text Document Summarization using Semantic-based Analysis—0
UNCC QA: Biomedical Question Answering system—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-based Extractive Summarization—0
Extractive Summarization of EHR Discharge Notes—0
Effective extractive summarization using frequency-filtered entity relationship graphs—0
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