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王泽 等: 基于槽依赖建模的跨领域槽填充方法 1569

[14] Liu SD, Huang PJ, Zhu ZB, Zhang HL, Tan JY. Cross-domain slot filling with distinct slot entity and type prediction. In: Proc. of the 10th
CCF Int’l Conf. on Natural Language Processing and Chinese Computing. Qingdao: Springer, 2021. 517–528. [doi: 10.1007/978-3-030-
88480-2_41]
[15] Liu LC, Lin XX, Zhang P, Wang B. Improving cross-domain slot filling with common syntactic structure. In: Proc. of the 2021 IEEE Int’l
Conf. on Acoustics, Speech and Signal Processing (ICASSP 2021). Toronto: IEEE, 2021. 7638–7642. [doi: 10.1109/ICASSP39728.2021.
9414625]
[16] Li JN, Zhou P, Xiong CM, Hoi S. Prototypical contrastive learning of unsupervised representations. In: Proc. of the 9th Int’l Conf. on
Learning Representations. Vienna: OpenReview.net, 2021.
[17] Du XY, He LH, Li Q, Yu D, Pasupat P, Zhang Y. QA-driven zero-shot slot filling with weak supervision pretraining. In: Proc. of the 59th
Annual Meeting of the Association for Computational Linguistics and the 11th Int’l Joint Conf. on Natural Language Processing (Vol. 2:
Short Papers). ACL, 2021. 654–664. [doi: 10.18653/v1/2021.acl-short.83]
[18] Yu MS, Liu J, Chen YF, Xu JA, Zhang YJ. Cross-domain slot filling as machine reading comprehension. In: Proc. of the 30th Int’l Joint
Conf. on Artificial Intelligence. Montreal: ijcai.org, 2021. 3992–3998. [doi: 10.24963/ijcai.2021/550]
[19] Ge CJ, Huang R, Xie MX, Lai ZH, Song SJ, Li S, Huang G. Domain adaptation via prompt learning. arXiv:2202.06687, 2022.
[20] Yan Y, Ye JD, Zhang ZB, Wang LW. AISFG: Abundant information slot filling generator. In: Proc. of the 2022 Conf. of the North
鞠鑫(2001－), 男, 硕士生, 主要研究领域为自然
American Chapter of the Association for Computational Linguistics: Human Language Technologies. Seattle: ACL, 2022. 4180–4187.
[doi: 10.18653/v1/2022.naacl-main.308]
[21] Luo QY, Liu LQ. Zero-shot slot filling with slot-prefix prompting and attention relationship descriptor. In: Proc. of the 37th AAAI Conf.
on Artificial Intelligence. Washington: AAAI Press, 2023. 13344–13352. [doi: 10.1609/aaai.v37i11.26566]
[22] Coucke A, Saade A, Ball A, Bluche T, Caulier A, Leroy D, Doumouro C, Gisselbrecht T, Caltagirone F, Lavril T, Primet M, Dureau J.
Snips voice platform: An embedded spoken language understanding system for private-by-design voice interfaces. arXiv:1805.10190,
2018.
[23] Gupta S, Shah R, Mohit M, Kumar A, Lewis M. Semantic parsing for task oriented dialog using hierarchical representations. In: Proc. of
the 2018 Conf. on Empirical Methods in Natural Language Processing. Brussels: ACL, 2018. 2787–2792. [doi: 10.18653/v1/D18-1300]
[24] Lin ZJ, Liu B, Moon S, Crook P, Zhou ZP, Wang ZG, Yu Z, Madotto A, Cho E, Subba R. Leveraging slot descriptions for zero-shot cross-
domain dialogue state tracking. In: Proc. of the 2021 Conf. of the North American Chapter of the Association for Computational
Linguistics: Human Language Technologies. ACL, 2021. 5640–5648. [doi: 10.18653/v1/2021.naacl-main.448]

王泽(1999－), 男, 硕士生, 主要研究领域为自然 王中卿(1987－), 男, 博士, 副教授, CCF 专业会
语言处理. 员, 主要研究领域为自然语言处理.

周夏冰(1988－), 女, 博士, 副教授, CCF 专业会 周国栋(1967－), 男, 博士, 教授, CCF 杰出会员,
员, 主要研究领域为自然语言处理. 主要研究领域为自然语言处理.

语言处理.