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EnvEdit: Environment Editing for Vision-and-Language Navigation ...
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How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language ...
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multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning ...
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FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ...
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ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning ...
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Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization ...
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Inducing Transformer’s Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks ...
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I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ...
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InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ...
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multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning ...
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ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback ...
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Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization ...
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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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Finding a Balanced Degree of Automation for Summary Evaluation ...
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Analyzing the Limits of Self-Supervision in Handling Bias in Language ...
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