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▼a Vougiouklis, P.
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▼a Neural Generation of Textual Summaries from Knowledge Base Triples.
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▼a Intro -- Title Page -- Acknowledgements -- Abstract -- Notation -- Contents -- Introduction -- Aims and Objectives -- Contributions -- Thesis Structure -- Background -- Natural Language Generation -- Neural Networks in Natural Language Processing -- Language Modelling with Neural Networks -- Neural Networks as Generative Models -- Encoder-Decoder Framework -- Summary -- Evaluation Methodology -- Evaluation Methods -- Automatic Evaluation -- Human Evaluation -- Evaluating Multilingual Summaries from the Perspective of Wikipedia Readers and Editors -- Baselines -- Random
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505
▼a Kneser-Ney (KN) Language Model -- Information Retrieval (IR) -- Machine Translation (MT) -- Summary -- Building Corpora of Natural Language Texts Aligned with Knowledge Base Triples -- Automatically Aligning Texts and Triples -- Wikipedia Summaries -- Knowledge Base Triples -- Aligned Corpora -- Biographies -- The D3 Corpus -- Building Multilingual Corpora -- Discussion -- Summary -- Neural Wikipedian: Generating Biographies from Knowledge Base Triples -- The Model -- Triple Encoder -- Decoder -- Property-Type Placeholders -- Model Training -- Generating Summaries -- Dataset Preparation
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505
▼a Modelling the Textual Summaries -- Modelling the Input Triples -- Experiments -- Training Details -- Automatic Evaluation -- Human Evaluation -- Discussion -- Conclusion -- Learning to Generate Wikipedia Summaries for Underserved Languages -- Model -- Property Placeholders -- Dataset Preparation -- Experiments -- Training Details -- Automatic Evaluation -- Community Study -- Recruitment -- Readers' Evaluation -- Editors' Evaluation -- Conclusion -- Point at the Triple: Improving Neural Wikipedian with a Pointer Mechanism -- The Model -- Decoder -- Triple Encoder
-
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▼a Dynamically Expanding the Vocabulary -- Summarising By Pointing and Generating -- Dataset Preparation -- Experiments -- Training Details -- Automatic Evaluation -- Human Evaluation -- Summary and Discussion -- Conclusion and Future Work -- Summary and Conclusions -- Current Limitations and Future Work -- Generation of Multi-Sentence Summaries -- The Main Entity of Interest -- Using the S3 Corpus -- Bibliography
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▼a Master record variable field(s) change: 050, 082, 650
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▼a Semantic Web.
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▼a Web site development.
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▼a Knowledge management.
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상세정보
Neural Generation of Textual Summaries from Knowledge Base Triples
QR코드| 자료유형 : | eBook |
|---|---|
| ISBN : | 9781643680675 |
| ISBN : | 1643680676 |
| ISBN : | |
| 개인저자 : | Vougiouklis, P. |
| 서명/저자사항 : | Neural Generation of Textual Summaries from Knowledge Base Triples. |
| 발행사항 : | [Place of publication not identified]: IOS Press: IOS Press, 2020. |
| 형태사항 : | 1 online resource. |
| 내용주기 : | Intro -- Title Page -- Acknowledgements -- Abstract -- Notation -- Contents -- Introduction -- Aims and Objectives -- Contributions -- Thesis Structure -- Background -- Natural Language Generation -- Neural Networks in Natural Language Processing -- Language Modelling with Neural Networks -- Neural Networks as Generative Models -- Encoder-Decoder Framework -- Summary -- Evaluation Methodology -- Evaluation Methods -- Automatic Evaluation -- Human Evaluation -- Evaluating Multilingual Summaries from the Perspective of Wikipedia Readers and Editors -- Baselines -- Random |
| 내용주기 : | Kneser-Ney (KN) Language Model -- Information Retrieval (IR) -- Machine Translation (MT) -- Summary -- Building Corpora of Natural Language Texts Aligned with Knowledge Base Triples -- Automatically Aligning Texts and Triples -- Wikipedia Summaries -- Knowledge Base Triples -- Aligned Corpora -- Biographies -- The D3 Corpus -- Building Multilingual Corpora -- Discussion -- Summary -- Neural Wikipedian: Generating Biographies from Knowledge Base Triples -- The Model -- Triple Encoder -- Decoder -- Property-Type Placeholders -- Model Training -- Generating Summaries -- Dataset Preparation |
| 내용주기 : | Modelling the Textual Summaries -- Modelling the Input Triples -- Experiments -- Training Details -- Automatic Evaluation -- Human Evaluation -- Discussion -- Conclusion -- Learning to Generate Wikipedia Summaries for Underserved Languages -- Model -- Property Placeholders -- Dataset Preparation -- Experiments -- Training Details -- Automatic Evaluation -- Community Study -- Recruitment -- Readers' Evaluation -- Editors' Evaluation -- Conclusion -- Point at the Triple: Improving Neural Wikipedian with a Pointer Mechanism -- The Model -- Decoder -- Triple Encoder |
| 내용주기 : | Dynamically Expanding the Vocabulary -- Summarising By Pointing and Generating -- Dataset Preparation -- Experiments -- Training Details -- Automatic Evaluation -- Human Evaluation -- Summary and Discussion -- Conclusion and Future Work -- Summary and Conclusions -- Current Limitations and Future Work -- Generation of Multi-Sentence Summaries -- The Main Entity of Interest -- Using the S3 Corpus -- Bibliography |
| 일반주제명 : | Semantic Web. -- |
| 일반주제명 : | Web site development. -- |
| 일반주제명 : | Knowledge management. -- |
| 언어 | 영어 |
| URL : |
|---|
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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