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Inspecting and Directing Neural Language Models
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Inspecting and Directing Neural Language Models. |
| 개인저자 | Noraset, Thanapon. |
| 단체저자명 | Northwestern University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: Northwestern University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 92 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438116856 |
| 학위논문주기 | Thesis (Ph.D.)--Northwestern University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Douglas C. Downey. |
| 요약 | 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, |
| 요약 | 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 |
| 요약 | 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 |
| 일반주제명 | Computer science. Artificial intelligence. Language. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
