Toward human-centered AI-A perspective from human-computer interaction
Xu, W. (2019). Toward human-centered AI: A perspective from human-computer interaction. Interactions, 26(4), 42–46. https://doi.org/10.1145/3328485
Xu, W. (2019). Toward human-centered AI: A perspective from human-computer interaction. Interactions, 26(4), 42–46. https://doi.org/10.1145/3328485
Kotnis, B., Gashteovski, K., Gastinger, J., Serra, G., Alesiani, F., Sztyler, T., Shaker, A., Gong, N., Lawrence, C., & Xu, Z. (2022). Human-Centric Research for NLP: Towards a Definition and Guiding Questions (arXiv:2207.04447). arXiv. https://doi.org/10.48550/arXiv.2207.04447
Zhang, X., Yuan, J., Zhao, Y., & Qin, B. (2021). Knowledge Enhanced Target-Aware Stance Detection on Tweets. 收入 B. Qin, Z. Jin, H. Wang, J. Pan, Y. Liu, & B. An, Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction (页 171–184). Springer. https://doi.org/10.1007/978-981-16-6471-7_13
van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023). ChatGPT: Five priorities for research. Nature, 614(7947), 224–226. https://doi.org/10.1038/d41586-023-00288-7
Kim, S., Razi, A., Stringhini, G., Wisniewski, P. J., & De Choudhury, M. (2021). A Human-Centered Systematic Literature Review of Cyberbullying Detection Algorithms. ACM 人机交互论文集, 5(CSCW2), 325:1-325:34. https://doi.org/10.1145/3476066
Bianchi, F., Terragni, S., & Hovy, D. (2021). Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 759–766. https://doi.org/10.18653/v1/2021.acl-short.96
一个简单的 GitHub 主页
借助notion提供的api将豆瓣电影中观影记录同步至notion数据库中