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Single-Document Abstractive Text Summarization: A Systematic Literature Review

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-34614-0_1openalex-snapshot

Text Summarization: A Brief Review

inferredcites →https://doi.org/10.1007/978-3-030-36718-3_21openalex-snapshot

Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization

inferredcites →https://doi.org/10.1007/978-3-030-86383-8_27openalex-snapshot

A Unified Summarization Model with Semantic Guide and Keyword Coverage Mechanism

inferredcites →https://doi.org/10.1007/978-3-030-87571-8_42openalex-snapshot

Improving Text Summarization Using Feature Extraction Approach Based on Pointer-generator with Coverage

inferredcites →https://doi.org/10.1007/978-3-319-99501-4_34openalex-snapshot

A Normalized Encoder-Decoder Model for Abstractive Summarization Using Focal Loss

inferredcites →https://doi.org/10.1007/978-981-19-4831-2_56openalex-snapshot

Abstractive Text Summarization Using Attentive GRU Based Encoder-Decoder

inferredcites →https://doi.org/10.1007/s00521-018-3946-7openalex-snapshot

Neural abstractive summarization fusing by global generative topics

inferredcites →https://doi.org/10.1007/s00521-020-05005-3openalex-snapshot

A two-step abstractive summarization model with asynchronous and enriched-information decoding

inferredcites →https://doi.org/10.1007/s00521-021-06880-0openalex-snapshot

FCSF-TABS: two-stage abstractive summarization with fact-aware reinforced content selection and fusion

inferredcites →https://doi.org/10.1007/s10489-021-02607-9openalex-snapshot

Abstractive document summarization via multi-template decoding

inferredcites →https://doi.org/10.1007/s11042-018-5749-3openalex-snapshot

Abstractive text summarization using LSTM-CNN based deep learning

inferredcites →https://doi.org/10.1007/s11227-021-03950-xopenalex-snapshot

Improving the readability and saliency of abstractive text summarization using combination of deep neural networks equipped with auxiliary attention mechanism

inferredcites →https://doi.org/10.1007/s13369-020-04827-6openalex-snapshot

Improving Text Summarization using Ensembled Approach based on Fuzzy with LSTM

inferredcites →https://doi.org/10.1016/j.csl.2020.101159openalex-snapshot

Gated dynamic convolutions with deep layer fusion for abstractive document summarization

inferredcites →https://doi.org/10.1016/j.csl.2021.101276openalex-snapshot

Deep reinforcement and transfer learning for abstractive text summarization: A review

inferredcites →https://doi.org/10.1016/j.eswa.2018.12.011openalex-snapshot

Abstractive summarization: An overview of the state of the art

inferredcites →https://doi.org/10.1016/j.ipm.2020.102351openalex-snapshot

HTSS: A novel hybrid text summarisation and simplification architecture

inferredcites →https://doi.org/10.1016/j.ipm.2020.102478openalex-snapshot

FAR-ASS: Fact-aware reinforced abstractive sentence summarization

inferredcites →https://doi.org/10.1016/j.ipm.2022.102913openalex-snapshot

Key phrase aware transformer for abstractive summarization

inferredcites →https://doi.org/10.1016/j.knosys.2021.106973openalex-snapshot

Frame Semantics guided network for Abstractive Sentence Summarization

inferredcites →https://doi.org/10.1016/j.knosys.2021.106996openalex-snapshot

HITS-based attentional neural model for abstractive summarization

inferredcites →https://doi.org/10.1016/j.knosys.2021.107152openalex-snapshot

See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization

inferredcites →https://doi.org/10.1016/j.knosys.2021.107273openalex-snapshot

Joint knowledge-powered topic level attention for a convolutional text summarization model

inferredcites →https://doi.org/10.1016/j.knosys.2022.108483openalex-snapshot

FusionSum: Abstractive summarization with sentence fusion and cooperative reinforcement learning

inferredcites →https://doi.org/10.1016/j.neucom.2021.02.028openalex-snapshot

Improving abstractive summarization based on dynamic residual network with reinforce dependency

inferredcites →https://doi.org/10.1016/j.neunet.2019.12.022openalex-snapshot

Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network

inferredcites →https://doi.org/10.1016/j.procs.2016.06.088openalex-snapshot

ATSSI: Abstractive Text Summarization Using Sentiment Infusion

inferredcites →https://doi.org/10.1016/j.procs.2018.05.038openalex-snapshot

Hybrid Approach To Abstractive Summarization

inferredcites →https://doi.org/10.1016/j.procs.2021.05.081openalex-snapshot

Improving Abstractive Summarization With Segment-Augmented And Position-Awareness

inferredcites →https://doi.org/10.1088/1742-6596/1229/1/012063openalex-snapshot

Memory-Enhanced Abstractive Summarization

inferredcites →https://doi.org/10.1088/1742-6596/1616/1/012078openalex-snapshot

Improving Abstractive Summarization via Dilated Convolution

inferredcites →https://doi.org/10.1088/1742-6596/2078/1/012073openalex-snapshot

SA-HAVE: A Self-Attention based Hierarchical VAEs Network for Abstractive Summarization

inferredcites →https://doi.org/10.1088/1757-899x/692/1/012049openalex-snapshot

Hybrid Non-Local Network for Abstractive Summarization

inferredcites →https://doi.org/10.1109/access.2019.2955087openalex-snapshot

Generating Semantically Similar and Human-Readable Summaries With Generative Adversarial Networks

inferredcites →https://doi.org/10.1109/access.2021.3052783openalex-snapshot

A Survey of the State-of-the-Art Models in Neural Abstractive Text Summarization

inferredcites →https://doi.org/10.1109/access.2021.3097087openalex-snapshot

Reinforced Abstractive Text Summarization With Semantic Added Reward

inferredcites →https://doi.org/10.1109/access.2023.3346911openalex-snapshot

Learning Cluster Patterns for Abstractive Summarization

inferredcites →https://doi.org/10.1109/acirs49895.2020.9162627openalex-snapshot

Abstractive Summarization Model with a Feature-Enhanced Seq2Seq Structure

inferredcites →https://doi.org/10.1109/bdai52447.2021.9515256openalex-snapshot

An Encoder-decoder Architecture with Graph Convolutional Networks for Abstractive Summarization

inferredcites →https://doi.org/10.1109/cacre52464.2021.9501355openalex-snapshot

Abstractive Summarization with Word Embedding Prediction and Scheduled Sampling

inferredcites →https://doi.org/10.1109/compauto54408.2021.00017openalex-snapshot

A DAE-based Approach for Improving the Grammaticality of Summaries

inferredcites →https://doi.org/10.1109/gucon.2018.8674894openalex-snapshot

Review on Abstractive Text Summarization Techniques (ATST) for single and multi documents

inferredcites →https://doi.org/10.1109/iaeac50856.2021.9390683openalex-snapshot

News Text Summarization Method based on BART-TextRank Model

inferredcites →https://doi.org/10.1109/icassp40776.2020.9054187openalex-snapshot

Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization

inferredcites →https://doi.org/10.1109/icc.2017.7996331openalex-snapshot

Multi-document abstractive summarization using chunk-graph and recurrent neural network

inferredcites →https://doi.org/10.1109/icc.2019.8762040openalex-snapshot

A Novel Attention Mechanism Considering Decoder Input for Abstractive Text Summarization

inferredcites →https://doi.org/10.1109/icccnt45670.2019.8944620openalex-snapshot

Abstractive method of text summarization with sequence to sequence RNNs

inferredcites →https://doi.org/10.1109/icces.2012.6408498openalex-snapshot

Semantic graph reduction approach for abstractive Text Summarization

inferredcites →https://doi.org/10.1109/iccisc52257.2021.9484944openalex-snapshot

Better Fine-Tuning with Extracted Important Sentences for Abstractive Summarization

inferredcites →https://doi.org/10.1109/iccmc51019.2021.9418438openalex-snapshot

Abstractive Summarization on Dynamically Changing Text

inferredcites →https://doi.org/10.1109/iccv.2015.11openalex-snapshot

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

inferredcites →https://doi.org/10.1109/icicas48597.2019.00199openalex-snapshot

Abstract Summarization Based on the Combination of Transformer and LSTM

inferredcites →https://doi.org/10.1109/icicta51737.2020.00068openalex-snapshot

A Topical Keywords Fusion Based on Transformer For Text Summarization

inferredcites →https://doi.org/10.1109/iciea48937.2020.9248362openalex-snapshot

CFCSS : Based on CF Network Convolutional Seq2Seq Model for Abstractive Summarization

inferredcites →https://doi.org/10.1109/icmla51294.2020.00106openalex-snapshot

Combining Temporal Event Relations and Pre-Trained Language Models for Text Summarization

inferredcites →https://doi.org/10.1109/icosc.2019.8665583openalex-snapshot

Generative Adversarial Network with Policy Gradient for Text Summarization

inferredcites →https://doi.org/10.1109/ictai.2018.00045openalex-snapshot

Sequence Generative Adversarial Network for Long Text Summarization

inferredcites →https://doi.org/10.1109/ictc46691.2019.8939704openalex-snapshot

A Context based Coverage Model for Abstractive Document Summarization

inferredcites →https://doi.org/10.1109/ijcnn.2019.8851885openalex-snapshot

Abstractive Text Summarization with Multi-Head Attention

inferredcites →https://doi.org/10.1109/ijcnn.2019.8851891openalex-snapshot

Keyphrase Guided Beam Search for Neural Abstractive Text Summarization

inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9206950openalex-snapshot

Improving Abstractive Summarization with Iterative Representation

inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9206958openalex-snapshot

Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder

inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9207502openalex-snapshot

Improving Abstractive Text Summarization with History Aggregation

inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9533494openalex-snapshot

SKGSUM: Abstractive Document Summarization with Semantic Knowledge Graphs

inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9534156openalex-snapshot

ASM: Augmentation-based Semantic Mechanism on Abstractive Summarization

inferredcites →https://doi.org/10.1109/indicon52576.2021.9691681openalex-snapshot

RNN Encoder And Decoder With Teacher Forcing Attention Mechanism for Abstractive Summarization

inferredcites →https://doi.org/10.1109/iscmi.2014.22openalex-snapshot

Human Aided Text Summarizer "SAAR" Using Reinforcement Learning

inferredcites →https://doi.org/10.1109/isriti48646.2019.9034616openalex-snapshot

The Impact of Local Attention in LSTM for Abstractive Text Summarization

inferredcites →https://doi.org/10.1109/kse50997.2020.9287809openalex-snapshot

Abstractive Sentence Summarization with Encoder-Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/sisy47553.2019.9111502openalex-snapshot

Seq2seq Deep Learning Method for Summary Generation by LSTM with Two-way Encoder and Beam Search Decoder

inferredcites →https://doi.org/10.1109/taslp.2021.3100281openalex-snapshot

History Reuse and Bag-of-Words Loss for Long Summary Generation

inferredcites →https://doi.org/10.1109/taslp.2022.3161157openalex-snapshot

Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge

inferredcites →https://doi.org/10.1109/tcss.2021.3088506openalex-snapshot

T-BERTSum: Topic-Aware Text Summarization Based on BERT

inferredcites →https://doi.org/10.1109/tcyb.2018.2876317openalex-snapshot

Dual Encoding for Abstractive Text Summarization

inferredcites →https://doi.org/10.1109/tnnls.2020.3008037openalex-snapshot

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization

inferredcites →https://doi.org/10.1109/yac.2019.8787620openalex-snapshot

An Abstractive Summarizer Based on Improved Pointer-Generator Network

inferredcites →https://doi.org/10.1145/219717.219748openalex-snapshot

WordNet

inferredcites →https://doi.org/10.1145/2488388.2488466openalex-snapshot

From amateurs to connoisseurs

inferredcites →https://doi.org/10.1145/321510.321519openalex-snapshot

New Methods in Automatic Extracting

inferredcites →https://doi.org/10.1145/3264746.3264773openalex-snapshot

Abstractive summarization by neural attention model with document content memory

inferredcites →https://doi.org/10.1145/3287921.3287952openalex-snapshot

Combined Objective Function in Deep Learning Model for Abstractive Summarization

inferredcites →https://doi.org/10.1145/3302425.3302490openalex-snapshot

Summarization with Highway Condition Radom Pointer-Generator Network

inferredcites →https://doi.org/10.1145/3341105.3373892openalex-snapshot

Attention history-based attention for abstractive text summarization

inferredcites →https://doi.org/10.1145/3368926.3369728openalex-snapshot

Abstractive Text Summarization Using Pointer-Generator Networks With Pre-trained Word Embedding

inferredcites →https://doi.org/10.1145/3404835.3462998openalex-snapshot

Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory

inferredcites →https://doi.org/10.1145/3428757.3429118openalex-snapshot

Effect of Semantic Content Generalization on Pointer Generator Network in Text Summarization

inferredcites →https://doi.org/10.1145/3442381.3449906openalex-snapshot

Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries

inferredcites →https://doi.org/10.1145/3545176openalex-snapshot

An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics

inferredcites →https://doi.org/10.1145/3600230openalex-snapshot

Methodical Systematic Review of Abstractive Summarization and Natural Language Processing Models for Biomedical Health Informatics: Approaches, Metrics and Challenges

inferredcites →https://doi.org/10.1147/rd.22.0159openalex-snapshot

The Automatic Creation of Literature Abstracts

inferredcites →https://doi.org/10.1162/089120102762671963openalex-snapshot

Generating Indicative-Informative Summaries with SumUM

inferredcites →https://doi.org/10.1162/coli_a_00417openalex-snapshot

Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization

inferredcites →https://doi.org/10.1162/tacl_a_00423openalex-snapshot

Controllable Summarization with Constrained Markov Decision Process

inferredcites →https://doi.org/10.1162/tacl_a_00438openalex-snapshot

Planning with Learned Entity Prompts for Abstractive Summarization

inferredcites →https://doi.org/10.1162/tacl_a_00480openalex-snapshot

Document Summarization with Latent Queries

inferredcites →https://doi.org/10.1162/tacl_a_00520openalex-snapshot

A Survey on Cross-Lingual Summarization

inferredcites →https://doi.org/10.1162/tacl_a_00536openalex-snapshot

Locally Typical Sampling

inferredcites →https://doi.org/10.1186/s13634-020-00674-7openalex-snapshot

Multi-task learning for abstractive text summarization with key information guide network

inferredcites →https://doi.org/10.13052/jwe1540-9589.1784openalex-snapshot

A Novel Framework for Semantic OrientedAbstractive Text Summarization

inferredcites →https://doi.org/10.14569/ijacsa.2017.081052openalex-snapshot

Text Summarization Techniques: A Brief Survey

inferredcites →https://doi.org/10.1609/aaai.v32i1.11912openalex-snapshot

Faithful to the Original: Fact Aware Neural Abstractive Summarization

inferredcites →https://doi.org/10.1609/aaai.v32i1.12141openalex-snapshot

Generative Adversarial Network for Abstractive Text Summarization

inferredcites →https://doi.org/10.1609/aaai.v33i01.33017362openalex-snapshot

Exploring Human-Like Reading Strategy for Abstractive Text Summarization

inferredcites →https://doi.org/10.1609/aaai.v33i01.33019987openalex-snapshot

A Multi-Task Learning Framework for Abstractive Text Summarization

inferredcites →https://doi.org/10.1609/aaai.v34i01.5328openalex-snapshot

MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization

inferredcites →https://doi.org/10.1609/aaai.v34i05.6312openalex-snapshot

SemSUM: Semantic Dependency Guided Neural Abstractive Summarization

inferredcites →https://doi.org/10.1609/aaai.v34i05.6333openalex-snapshot

Keywords-Guided Abstractive Sentence Summarization

inferredcites →https://doi.org/10.1609/aaai.v34i05.6419openalex-snapshot

Joint Parsing and Generation for Abstractive Summarization

inferredcites →https://doi.org/10.1609/aaai.v34i05.6420openalex-snapshot

Controlling the Amount of Verbatim Copying in Abstractive Summarization

inferredcites →https://doi.org/10.1609/aaai.v35i15.17641openalex-snapshot

Exploring Explainable Selection to Control Abstractive Summarization

inferredcites →https://doi.org/10.1613/jair.5477openalex-snapshot

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.125openalex-snapshot

Self-Attention Guided Copy Mechanism for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.173openalex-snapshot

On Faithfulness and Factuality in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.450openalex-snapshot

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.457openalex-snapshot

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.460openalex-snapshot

The Summary Loop: Learning to Write Abstractive Summaries Without Examples

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.551openalex-snapshot

Composing Elementary Discourse Units in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

inferredcites →https://doi.org/10.18653/v1/2020.coling-main.497openalex-snapshot

Controllable Abstractive Sentence Summarization with Guiding Entities

inferredcites →https://doi.org/10.18653/v1/2020.coling-main.606openalex-snapshot

Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.297openalex-snapshot

Pre-training for Abstractive Document Summarization by Reinstating Source Text

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.337openalex-snapshot

Few-Shot Learning for Opinion Summarization

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.35openalex-snapshot

Friendly Topic Assistant for Transformer Based Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.506openalex-snapshot

Factual Error Correction for Abstractive Summarization Models

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.700openalex-snapshot

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.748openalex-snapshot

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.749openalex-snapshot

Multi-Fact Correction in Abstractive Text Summarization

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.750openalex-snapshot

Evaluating the Factual Consistency of Abstractive Text Summarization

inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.217openalex-snapshot

ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training

inferredcites →https://doi.org/10.18653/v1/2021.acl-long.472openalex-snapshot

BASS: Boosting Abstractive Summarization with Unified Semantic Graph

inferredcites →https://doi.org/10.18653/v1/2021.acl-long.536openalex-snapshot

Improving Factual Consistency of Abstractive Summarization via Question Answering

inferredcites →https://doi.org/10.18653/v1/2021.acl-long.538openalex-snapshot

Cross-Lingual Abstractive Summarization with Limited Parallel Resources

inferredcites →https://doi.org/10.18653/v1/2021.acl-long.565openalex-snapshot

All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text

inferredcites →https://doi.org/10.18653/v1/2021.acl-short.135openalex-snapshot

SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2021.eacl-main.220openalex-snapshot

StructSum: Summarization via Structured Representations

inferredcites →https://doi.org/10.18653/v1/2021.eacl-main.229openalex-snapshot

Informative and Controllable Opinion Summarization

inferredcites →https://doi.org/10.18653/v1/2021.eacl-main.235openalex-snapshot

Entity-level Factual Consistency of Abstractive Text Summarization

inferredcites →https://doi.org/10.18653/v1/2021.eacl-main.34openalex-snapshot

Discourse Understanding and Factual Consistency in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.196openalex-snapshot

Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization

inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.336openalex-snapshot

Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.468openalex-snapshot

Muppet: Massive Multi-task Representations with Pre-Finetuning

inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.532openalex-snapshot

CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.744openalex-snapshot

Enriching and Controlling Global Semantics for Text Summarization

inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.454openalex-snapshot

Controllable Abstractive Dialogue Summarization with Sketch Supervision

inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.106openalex-snapshot

Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization

inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.47openalex-snapshot

Using Question Answering Rewards to Improve Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.112openalex-snapshot

Efficient Attentions for Long Document Summarization

inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.381openalex-snapshot

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.384openalex-snapshot

GSum: A General Framework for Guided Neural Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.397openalex-snapshot

Attention Head Masking for Inference Time Content Selection in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.475openalex-snapshot

Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection

inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.57openalex-snapshot

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation

inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.58openalex-snapshot

Enhancing Factual Consistency of Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2021.newsum-1.1openalex-snapshot

Sentence-level Planning for Especially Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2022.acl-long.100openalex-snapshot

Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2022.acl-long.118openalex-snapshot

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization

inferredcites →https://doi.org/10.18653/v1/2022.acl-long.207openalex-snapshot

BRIO: Bringing Order to Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2022.acl-long.236openalex-snapshot

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2022.acl-long.26openalex-snapshot

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

inferredcites →https://doi.org/10.18653/v1/2022.acl-long.309openalex-snapshot

SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.355openalex-snapshot

Abstractive Summarization Guided by Latent Hierarchical Document Structure

inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.396openalex-snapshot

CTRLsum: Towards Generic Controllable Text Summarization

inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.399openalex-snapshot

Mutual Information Alleviates Hallucinations in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.409openalex-snapshot

Salience Allocation as Guidance for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.663openalex-snapshot

Learning with Rejection for Abstractive Text Summarization

inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.667openalex-snapshot

Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling

inferredcites →https://doi.org/10.18653/v1/2022.findings-emnlp.267openalex-snapshot

FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness

inferredcites →https://doi.org/10.18653/v1/2022.findings-emnlp.76openalex-snapshot

Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2022.findings-naacl.40openalex-snapshot

Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control

inferredcites →https://doi.org/10.18653/v1/2022.gem-1.1openalex-snapshot

Improving abstractive summarization with energy-based re-ranking

inferredcites →https://doi.org/10.18653/v1/2022.gem-1.51openalex-snapshot

Don’t Say What You Don’t Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search

inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.74openalex-snapshot

FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2023.acl-long.279openalex-snapshot

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2023.codi-1.9openalex-snapshot

Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency

inferredcites →https://doi.org/10.18653/v1/2023.eacl-main.210openalex-snapshot

Faithfulness-Aware Decoding Strategies for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.685openalex-snapshot

CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/d15-1044openalex-snapshot

A Neural Attention Model for Abstractive Sentence Summarization

inferredcites →https://doi.org/10.18653/v1/d15-1166openalex-snapshot

Effective Approaches to Attention-based Neural Machine Translation

inferredcites →https://doi.org/10.18653/v1/d15-1222openalex-snapshot

Better Summarization Evaluation with Word Embeddings for ROUGE

inferredcites →https://doi.org/10.18653/v1/d18-1085openalex-snapshot

A Graph-theoretic Summary Evaluation for ROUGE

inferredcites →https://doi.org/10.18653/v1/d18-1086openalex-snapshot

Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation

inferredcites →https://doi.org/10.18653/v1/d18-1205openalex-snapshot

Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling

inferredcites →https://doi.org/10.18653/v1/d18-1206openalex-snapshot

Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

inferredcites →https://doi.org/10.18653/v1/d18-1207openalex-snapshot

Improving Abstraction in Text Summarization

inferredcites →https://doi.org/10.18653/v1/d18-1440openalex-snapshot

Closed-Book Training to Improve Summarization Encoder Memory

inferredcites →https://doi.org/10.18653/v1/d18-1441openalex-snapshot

Improving Neural Abstractive Document Summarization with Structural Regularization

inferredcites →https://doi.org/10.18653/v1/d18-1443openalex-snapshot

Bottom-Up Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/d18-1444openalex-snapshot

Controlling Length in Abstractive Summarization Using a Convolutional Neural Network

inferredcites →https://doi.org/10.18653/v1/d19-1053openalex-snapshot

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

inferredcites →https://doi.org/10.18653/v1/d19-1117openalex-snapshot

Attention Optimization for Abstractive Document Summarization

inferredcites →https://doi.org/10.18653/v1/d19-1302openalex-snapshot

NCLS: Neural Cross-Lingual Summarization

inferredcites →https://doi.org/10.18653/v1/d19-1304openalex-snapshot

Concept Pointer Network for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/d19-1323openalex-snapshot

An Entity-Driven Framework for Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/d19-1387openalex-snapshot

Text Summarization with Pretrained Encoders

inferredcites →https://doi.org/10.18653/v1/d19-1412openalex-snapshot

Denoising based Sequence-to-Sequence Pre-training for Text Generation

inferredcites →https://doi.org/10.18653/v1/d19-5405openalex-snapshot

Unsupervised Aspect-Based Multi-Document Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/e17-2047openalex-snapshot

Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization

inferredcites →https://doi.org/10.18653/v1/k16-1028openalex-snapshot

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

inferredcites →https://doi.org/10.18653/v1/k19-1077openalex-snapshot

In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes

inferredcites →https://doi.org/10.18653/v1/k19-1078openalex-snapshot

Generating Formality-Tuned Summaries Using Input-Dependent Rewards

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-10721-3_8openalex-snapshot

Leveraging LLM in the Implementation of the CFIHOS Standards Conceptual Model

inferred← citeshttps://doi.org/10.1007/s10462-025-11168-zopenalex-snapshot

Natural language processing in the patent domain: a survey

inferred← citeshttps://doi.org/10.1007/s41870-025-02688-6openalex-snapshot

HPEGPrSumm: a transformer-based text summarization with prompt tuning

inferred← citeshttps://doi.org/10.1007/s44163-026-02176-1openalex-snapshot

Sentiment-guided semantic ranking framework for aspect-aware product review summarization

inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100762openalex-snapshot

Abstractive text summarization: A comprehensive survey of techniques, systems, and challenges

inferred← citeshttps://doi.org/10.1016/j.nlp.2025.100138openalex-snapshot

BeliN: A novel corpus for Bengali religious news headline generation using contextual feature fusion

inferred← citeshttps://doi.org/10.1038/s41598-025-05923-zopenalex-snapshot

Context aware hierarchical attention for abstractive dialogue summarization

inferred← citeshttps://doi.org/10.1080/02564602.2026.2703143openalex-snapshot

Summarizing India’s News: IndoSumm and CoheraText for Multi-Document Abstractive Summarization

inferred← citeshttps://doi.org/10.1109/icadaai64945.2026.11679237openalex-snapshot

What Makes a Good Meta-Feature? Comparing Statistical, Embedding-Based, and Landmark Features for Automated Model Selection in Abstractive Summarisation

inferred← citeshttps://doi.org/10.1109/iccsp68173.2026.11539224openalex-snapshot

Abstractive Summarization of Higher Education Policy Documents: A Hybrid Approach Using Transfer Learning, Prompting and Few-Shot Learning

inferred← citeshttps://doi.org/10.1109/icmlas64557.2025.10968896openalex-snapshot

Approaches for Summarization of Articles Across Multiple Languages: A Review

inferred← citeshttps://doi.org/10.1109/icoiact64819.2024.10913050openalex-snapshot

Text Summarization of Batak Toba Language Using Bidirectional Auto-Regressive Transformers Model

inferred← citeshttps://doi.org/10.3390/computers14120508openalex-snapshot

NewsSumm: The World’s Largest Human-Annotated Multi-Document News Summarization Dataset for Indian English

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