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020 ▼a 9798351491561
035 ▼a (MiAaPQ)AAI29342282
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 400
1001 ▼a Iter, Dan.
24510 ▼a Pre-Finetuning Methods for Domain and Task Adaptation, with Applications to Discourse and Translation.
260 ▼a [S.l.]: ▼b Stanford University., ▼c 2022.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2022.
300 ▼a 97 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
500 ▼a Advisor: Hashimoto, Tatsunori;Liang, Percy;Jurafsky, Dan.
5021 ▼a Thesis (Ph.D.)--Stanford University, 2022.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0212.
650 4 ▼a Language.
650 4 ▼a Word sense disambiguation.
650 4 ▼a Deep learning.
650 4 ▼a Classification.
650 4 ▼a Adaptation.
650 4 ▼a Machine translation.
650 4 ▼a Ablation.
690 ▼a 0679
690 ▼a 0800
71020 ▼a Stanford University.
7730 ▼t Dissertations Abstracts International ▼g 84-04B.
773 ▼t Dissertation Abstract International
790 ▼a 0212
791 ▼a Ph.D.
792 ▼a 2022
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16619637 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202302 ▼f 2023
990 ▼a ***1012033
991 ▼a E-BOOK