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Current methods for automatically evaluating grammatical error correction (GEC) systems rely on gold-standard references. However, these methods suffer from penalizing gram- matical edits that are correct but not in the …...

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An Anchor-Based Automatic Evaluation Metric for Document Summarization

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AbstractThe widespread adoption of reference-based automatic evaluation metrics such as ROUGE has promoted the development of document summarization. In this paper, we consider a new protocol for designing reference-based metrics …...

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Diverse and Relevant Visual Storytelling with Scene Graph Embeddings

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AbstractA problem in automatically generated stories for image sequences is that they use overly generic vocabulary and phrase structure and fail to match the distributional characteristics of human-generated text. We …...

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Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model

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AbstractEvaluating the quality of responses generated by open-domain conversation systems is a challenging task. This is partly because there can be multiple appropriate responses to a given dialogue history. Reference-based …...

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The lack of reliable automatic evaluation met- rics is a major impediment to the development of open-domain dialogue systems. Various reference-based metrics have been proposed to calculate a score between …...

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