Framework of Automatic Text Summarization Using Reinforcement Learning

2012-07-01 · EMNLP 2012 7 · Seonggi Ryang, Takeshi Abekawa

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Document Summarization Multi-Document Summarization reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)Sentence Compression Text Summarization

Automatic Text Summarization Using Reinforcement Learning with Embedding Features

2017-11-01 · IJCNLP 2017 11 · Gyoung Ho Lee, Kong Joo Lee

An automatic text summarization system can automatically generate a short and brief summary that contains a main concept of an original document. In this work, we explore the advantages of simple embedding features in Re…

ARC Information Retrieval reinforcement-learning Reinforcement Learning+2

Robust Deep Reinforcement Learning for Extractive Legal Summarization

2021-11-13 · Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen Viet Dung Nghiem, Dung Tien Le 외

Automatic summarization of legal texts is an important and still a challenging task since legal documents are often long and complicated with unusual structures and styles. Recent advances of deep models trained end-to-e…

Deep Reinforcement Learning reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback

2023-05-31 · Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni 외

Despite the seeming success of contemporary grounded text generation systems, they often tend to generate factually inconsistent text with respect to their input. This phenomenon is emphasized in tasks like summarization…

Abstractive Text Summarization Natural Language Inference reinforcement-learning Reinforcement Learning+1

Deep Learning Models for Automatic Summarization

2020-05-25 · Pirmin Lemberger

Text summarization is an NLP task which aims to convert a textual document into a shorter one while keeping as much meaning as possible. This pedagogical article reviews a number of recent Deep Learning architectures tha…

Deep Learning reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)+1

MASF: A Multi-Model Adaptive Selection Framework for Abstractive Text summarization

2026-06-03 · Ahmed Alansary, Ali Hamdi arxiv

Automatic text summarization has become increasingly important due to the rapid growth of digital textual information. This paper presents a Multi-Model Adaptive Summarization Framework designed to improve the robustness…

Abstractive Text Summarization