Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV - Info and Reading Options

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Intro -- Preface -- Organization -- Invited Talks Abstracts -- Neural Wave Representations -- Physics-Inspired Graph Neural Networks -- Mapping Generative AI -- Contents - Part IV -- Natural Language Processing -- Unsupervised Deep Cross-Language Entity Alignment -- 1 Introduction -- 2 Related Work -- 2.1 Supervised Entity Alignment -- 2.2 Semi-supervised Entity Alignment -- 2.3 Unsupervised Entity Alignment -- 3 Proposed Method -- 3.1 Base Symbol Definition -- 3.2 Feature Embedding Module -- 3.3 Alignment Module -- 4 Experiments -- 4.1 Cross-Lingual Dataset -- 4.2 Comparative -- 4.3 Evaluation Indicate and Experiment Setting -- 4.4 Experimental Results -- 5 Ablation Study -- 5.1 Translator and Encoder Analysis -- 5.2 Alignment Module Analysis -- 5.3 Additional Analysis -- 6 Error Mode Analysis -- 7 Conclusion and Future Research -- References -- Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns -- 1 Introduction -- 2 Problem Formulation -- 3 Methodology -- 3.1 Representation of Relation Triple -- 3.2 Initial Weak Supervision Extraction -- 3.3 Weak Supervision Noise Reduction via Clustering -- 3.4 Generalization via Prompt-Tuning -- 4 Experiments -- 4.1 Relation Extraction -- 4.2 Positive and Negative Samples -- 4.3 Cluster Visualization -- 4.4 Ablation Study -- 5 Related Work -- 6 Conclusions -- References -- Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Problem Setting and Background -- 3.1 SAC for Discrete Action Spaces -- 4 Reward Shaping Method -- 5 Experimental Results -- 5.1 Datasets -- 5.2 Experimental Settings -- 5.3 Results -- 6 Limitations and Future Work -- 7 Conclusion -- References -- SALAS: Supervised Aspect Learning Improves Abstractive Multi-document Summarization Through Aspect Information Loss -- 1 Introduction

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