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MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization ...
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Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline ...
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Abstract:
Aligning sentences in a reference summary with their counterparts in source documents was shown as a useful auxiliary summarization task, notably for generating training data for salience detection. Despite its assessed utility, the alignment step was mostly approached with heuristic unsupervised methods, typically ROUGE-based, and was never independently optimized or evaluated. In this paper, we propose establishing summary-source alignment as an explicit task, while introducing two major novelties: (1) applying it at the more accurate proposition span level, and (2) approaching it as a supervised classification task. To that end, we created a novel training dataset for proposition-level alignment, derived automatically from available summarization evaluation data. In addition, we crowdsourced dev and test datasets, enabling model development and proper evaluation. Utilizing these data, we present a supervised proposition alignment baseline model, showing improved alignment-quality over the unsupervised ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization
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URL: https://underline.io/lecture/39850-summary-source-proposition-level-alignment-task,-datasets-and-supervised-baseline https://dx.doi.org/10.48448/jb9p-zd26
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Fine-grained Factual Consistency Assessment for Abstractive Summarization Models ...
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Modeling Endorsement for Multi-Document Abstractive Summarization ...
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COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images ...
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Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets ...
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A Large-Scale Dataset for Empathetic Response Generation ...
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Knowledge and Keywords Augmented Abstractive Sentence Summarization ...
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Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior ...
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Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation ...
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Sentence-level Planning for Especially Abstractive Summarization ...
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Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences ...
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Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation ...
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Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation ...
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