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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 How effective is BERT without word ordering? Implications for language understanding and data privacy ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hessel, Jack; Schofield, Alexandra. - : Underline Science Inc., 2021 BASE Show details 2 CLIPScore: A Reference-free Evaluation Metric for Image Captioning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Yejin; Forbes, Maxwell; Hessel, Jack; Holtzman, Ari; Le Bras, Ronan. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.595/ Abstract: Image captioning has conventionally relied on reference-based automatic evaluations, where machine captions are compared against captions written by humans. This is in contrast to the reference-free manner in which humans assess caption quality. In this paper, we report the surprising empirical finding that CLIP (Radford et al., 2021), a cross-modal model pretrained on 400M image+caption pairs from the web, can be used for robust automatic evaluation of image captioning without the need for references. Experiments spanning several corpora demonstrate that our new reference-free metric, CLIPScore, achieves the highest correlation with human judgements, outperforming existing reference-based metrics like CIDEr and SPICE. Information gain experiments demonstrate that CLIPScore, with its tight focus on image-text compatibility, is complementary to existing reference-based metrics that emphasize text-text similarities. Thus, we also ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/8nqz-5843 https://underline.io/lecture/37364-clipscore-a-reference-free-evaluation-metric-for-image-captioning BASE Hide details 3 Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents ... Yauney, Gregory; Hessel, Jack; Mimno, David. - : arXiv, 2020 BASE Show details

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