SILC - Spatial Intelligence and Learning Center

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Dive into the research topics where SILC - Spatial Intelligence and Learning Center is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Collaborations and top research areas from the last five years

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  • NICE: Neural Image Commenting with Empathy

    Chen, K., Huang, Q., McDuff, D., Gao, X., Palangi, H., Wang, J., Forbus, K. & Gao, J., 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M-F., Huang, X., Specia, L. & Yih, S. W-T. (eds.). Association for Computational Linguistics (ACL), p. 4456-4472 17 p. (Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Visual Relation Detection Using Hybrid Analogical Learning

    Chen, K. & Forbus, K., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 801-808 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • An Analysis of Frame Semantics of Continuous Processes

    McFate, C. & Forbus, K., 2016, Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016. Papafragou, A., Grodner, D., Mirman, D. & Trueswell, J. C. (eds.). The Cognitive Science Society, p. 836-841 6 p. (Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution