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Adaptive Sentence Selection for Extractive Summarization: Leveraging Dynamic Extraction Strategies

https://doi.org/10.2139/ssrn.4682768
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/iecon.2016.7793761openalex-extracted
Extractive document summarization based on convolutional neural networks
inferredcites →https://doi.org/10.1147/rd.22.0159openalex-extracted
The Automatic Creation of Literature Abstracts
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.552openalex-extracted
Extractive Summarization as Text Matching
inferredcites →https://doi.org/10.18653/v1/2021.acl-short.135openalex-extracted
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.207openalex-extracted
BRIO: Bringing Order to Abstractive Summarization
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.714openalex-extracted
SummIt: Iterative Text Summarization via ChatGPT
inferredcites →https://doi.org/10.18653/v1/2023.trustnlp-1.6openalex-extracted
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning
inferredcites →https://doi.org/10.18653/v1/d18-1409openalex-extracted
BanditSum: Extractive Summarization as a Contextual Bandit
inferredcites →https://doi.org/10.18653/v1/d19-1387openalex-extracted
Text Summarization with Pretrained Encoders
inferredcites →https://doi.org/10.18653/v1/k16-1028openalex-extracted
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
inferredcites →https://doi.org/10.18653/v1/n18-1158openalex-extracted
Ranking Sentences for Extractive Summarization with Reinforcement Learning
inferredcites →https://doi.org/10.18653/v1/n18-2097openalex-extracted
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
inferredcites →https://doi.org/10.18653/v1/p16-1046openalex-extracted
Neural Summarization by Extracting Sentences and Words
inferredcites →https://doi.org/10.18653/v1/p17-1099openalex-extracted
Get To The Point: Summarization with Pointer-Generator Networks
inferredcites →https://doi.org/10.18653/v1/p18-1061openalex-extracted
Neural Document Summarization by Jointly Learning to Score and Select Sentences
inferredcites →https://doi.org/10.18653/v1/p19-1102openalex-extracted
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
inferredcites →https://doi.org/10.3115/1119089.1119121openalex-extracted
Automated text summarization and the SUMMARIST system
inferredcites →https://doi.org/10.3115/v1/p15-2136openalex-extracted
Learning Summary Prior Representation for Extractive Summarization
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-extracted
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-extracted
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1811.00783openalex-extracted
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
inferredcites →https://doi.org/10.48550/arxiv.2105.06756openalex-extracted
Long Short-term Memory RNN
inferredcites →https://doi.org/10.48550/arxiv.2212.04257openalex-extracted
Momentum Calibration for Text Generation
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