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Interactive Color Manipulation with Natural Language Modifiers

Published:10 October 2021Publication History

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References

  1. Xudong Han, Philip Schulz, and Trevor Cohn. 2019. Grounding learning of modifier dynamics: An application to color naming. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). ACL, 1488–1493.Google ScholarGoogle ScholarCross RefCross Ref
  2. Tomas Mikolov, Kai Chen, Greg S. Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. In Proceedings of the International Conference on Learning Representations (ICLR 2013) Workshop Track.Google ScholarGoogle Scholar
  3. Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. 2013. Linguistic Regularities in Continuous Space Word Representations. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. ACL, 746–751.Google ScholarGoogle Scholar
  4. Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014. GloVe: Global Vectors for Word Representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). ACL, 1532–1543.Google ScholarGoogle ScholarCross RefCross Ref
  5. Olivia Winn and Smaranda Muresan. 2018. ‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Vol. 2. ACL, 790–795.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Conferences
    UIST '21 Adjunct: Adjunct Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology
    October 2021
    182 pages
    ISBN:9781450386555
    DOI:10.1145/3474349

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    • Published: 10 October 2021

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