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020 ▼a 9780438116856
035 ▼a (MiAaPQ)AAI10816819
035 ▼a (MiAaPQ)northwestern:14142
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 004
1001 ▼a Noraset, Thanapon. ▼0 (orcid)0000-0002-7080-6523
24510 ▼a Inspecting and Directing Neural Language Models.
260 ▼a [S.l.] : ▼b Northwestern University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 92 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500 ▼a Adviser: Douglas C. Downey.
5021 ▼a Thesis (Ph.D.)--Northwestern University, 2018.
520 ▼a The ability of a machine to synthesize textual output in a form of human language is a long-standing goal in a field of artificial intelligence and has wide-range of applications such as spell correction, speech recognition, machine translation,
520 ▼a Despite the performance improvement and convenience of the neural language models, they lack a useful property found in the previous statistical model such as an n-gram language model---the parameters of neural language models are not directly i
520 ▼a This dissertation addresses these two shortcomings by exploiting the models' ability to generate interpretable text. First, we propose a more transparent view of the information captured by a word embedding, and introduce the Definition Modeling
590 ▼a School code: 0163.
650 4 ▼a Computer science.
650 4 ▼a Artificial intelligence.
650 4 ▼a Language.
690 ▼a 0984
690 ▼a 0800
690 ▼a 0679
71020 ▼a Northwestern University. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-11B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0163
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998292 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자