Counterfactual Language Model Adaptation for Suggesting Phrases
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
AI 大模型
大语言模型、预训练、指令微调、后训练和语言模型应用。
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments Accepted by IWPT 2017
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments 10 pages, including references
专题命中 预训练与数据 :pretraining(title,abstract);分类 cs.CL
Comments Accepted by ACL 2017
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments ACL 2017
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments published (INTERSPEECH 2016), 5 pages, 3 figures, 4 tables
专题命中 预训练与数据 :pretraining(title,abstract);分类 cs.LG
Comments This manuscript is now superseded by arXiv:1511.05297 and the corresponding accepted paper in 54th Allerton Conference on Communication, Control and Computing (2017)
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments Additional resources: - the emLam repository: https://github.com/DavidNemeskey/emLam - the emLam corpus: http://hlt.bme.hu/en/resources/emLam
Journal ref In Proceedings of the 13th Conference on Hungarian Computational Linguistics (MSZNY), pp. 91-102. Szeged, 2017
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments Accepted for publication at ICASSP 2017
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments 17 Page Paper. Self-extracting PostScript File
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments in International Journal in Foundations of Computer Science & Technology (IJFCST) Vol.5, No.6, November 2015
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments Proceedings of the Dialog 2015 Conference. Moscow, Russia
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Journal ref Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science. June, 2014. 61--65
专题命中 预训练与数据 :pretraining(title,abstract);分类 cs.LG
Comments 6 pages, 2 figures, (to appear) ICML-Workshop on Unsupervised Learning from Bioacoustic Big Data (uLearnBio) 2014
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments 13 pages, 2 figures, ACL 2014
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments To appear, SIGIR 2004
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments 8 pages, aclap.sty, 2 eps figures. Appears in (E)ACL'97
Journal ref Proceedings of EACL/ACL 1997, Madrid, Spain
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments 9 pages, LaTeX, uses aclap.sty
Journal ref Proceedings of the 34th Meeting of the Association for Computational Linguistics (ACL '96)
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments 8 pages, LaTeX, uses aclap.sty
Journal ref Proc. 33rd Annual Meeting of the ACL, p. 228-235, Cambridge, MA 1995
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments 27 pages, latex, comments welcome
专题命中 预训练与数据 :language model(title,abstract);分类 cs.CL
Comments Expanded version of a paper to appear in ANLP-94, Stuttgart. Latex, 7 pages. Needs latex-acl.sty