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Publication: TIPSTER (2002)

DOI: nan

Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title generation. Different from the …...

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DOI: nan

AbstractGenerating explanations for neural networks has become crucial for their applications in real-world with respect to reliability and trustworthiness. In natural language processing, existing methods usually provide important features which …...

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Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems

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AbstractIn recent years, neural models have often outperformed rule-based and classic Machine Learning approaches in NLG. These classic approaches are now often disregarded, for example when new neural models are …...

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