| LDR | | 02213nam u200445 4500 |
| 001 | | 000000421606 |
| 005 | | 20190215165443 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438116856 |
| 035 | |
▼a (MiAaPQ)AAI10816819 |
| 035 | |
▼a (MiAaPQ)northwestern:14142 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Noraset, Thanapon.
▼0 (orcid)0000-0002-7080-6523. |
| 245 | 10 |
▼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. |
| 502 | 1 |
▼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 |
| 710 | 20 |
▼a Northwestern University.
▼b Electrical and Computer Engineering. |
| 773 | 0 |
▼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 |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998292
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |