Grigorios Tsoumakas
16 papers · 2011–2025 · 9 venues · across top CS/AI venues
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text summarization
(5)
multi-label classification
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abstractive summarization
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large language model
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uncertainty estimation
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text classification
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variational inference
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data augmentation
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dataset creation
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natural language inference
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uncertainty quantification
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relation extraction
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parameter estimation
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ensemble learning
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information retrieval
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named entity recognition
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multi-label learning
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extractive summarization
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Papers
Artificial Relationships in Fiction: A Dataset for Advancing NLP in Literary Domains
NAACL 2025
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
AAAI 2025
Towards Trustworthy Summarization of Cardiovascular Articles: A Factuality-and-Uncertainty-Aware Biomedical LLM Approach
EMNLP 2025
AUTH at BioLaySumm 2024: Bringing Scientific Content to Kids
ACL 2024
Plain Language Summarization of Clinical Trials
COLING 2024
Topic-Controllable Summarization: Topic-Aware Evaluation and Transformer Methods
COLING 2024
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue
ACL 2022
Keyphrase Extraction from Scientific Articles via Extractive Summarization
NAACL 2021
Keyword Extraction Using Unsupervised Learning on the Document’s Adjacency Matrix
NAACL 2021
Towards Human-Centered Summarization: A Case Study on Financial News
EACL 2021
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance
IJCAI 2021
AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20
EMNLP 2020
Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech
IJCAI 2018
Making Classifier Chains Resilient to Class Imbalance
ACML 2018
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA
JMLR 2017
MULAN: A Java Library for Multi-Label Learning
JMLR 2011