| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000046126984 | |
| 005 | 20251231152419 | |
| 008 | 220907t20142014ne a b 001 0 eng | |
| 010 | ▼a 2013029704 | |
| 020 | ▼a 9789027249975 (Hb : alk. paper) | |
| 020 | ▼a 9789027249982 (Pb : alk. paper) | |
| 020 | ▼z 9789027271068 (Eb) | |
| 035 | ▼a (KERIS)REF000017236677 | |
| 040 | ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d DLC ▼d 211009 | |
| 042 | ▼a pcc | |
| 050 | 0 0 | ▼a P98.5.S83 ▼b B56 2014 |
| 082 | 0 0 | ▼a 006.3/5 ▼2 23 |
| 084 | ▼a 006.35 ▼2 DDCK | |
| 090 | ▼a 006.35 ▼b B615 | |
| 245 | 0 0 | ▼a Biomedical natural language processing / ▼c Kevin Bretonnel Cohen, University of Colorado, School of Medicine ; Dina Demner-Fushman, National Library of Medicine. |
| 260 | ▼a Amsterdam ; ▼a Philadelphia : ▼b John Benjamins Publishing Company, ▼c 2014. | |
| 264 | 1 | ▼a Amsterdam ; ▼a Philadelphia : ▼b John Benjamins Publishing Company, ▼c [2014] |
| 300 | ▼a x, 160 p. : ▼b ill. ; ▼c 25 cm. | |
| 336 | ▼a text ▼2 rdacontent | |
| 337 | ▼a unmediated ▼2 rdamedia | |
| 338 | ▼a volume ▼2 rdacarrier | |
| 490 | 1 | ▼a Natural Language Processing (NLP), ▼x 1567-8202 ; ▼v volume 11 |
| 504 | ▼a Includes bibliographical references (p. 141-153) and index. | |
| 650 | 0 | ▼a Computational linguistics ▼x Statistical methods. |
| 650 | 0 | ▼a Natural language processing (Computer science). |
| 650 | 0 | ▼a Biometry. |
| 650 | 0 | ▼a Medical statistics. |
| 700 | 1 | ▼a Cohen, Kevin Bretonnel, ▼e editor ▼0 AUTH(211009)178897. |
| 700 | 1 | ▼a Demner-Fushman, Dina, ▼e editor ▼0 AUTH(211009)178898. |
| 830 | 0 | ▼a Natural Language Processing ; ▼v v. 11. |
| 945 | ▼a ITMT |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 006.35 B615 | 등록번호 111868907 (2회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.
정보제공 :
목차
1. Acknowledgments; 2. List of figures; 3. 1. Introduction to natural language processing; 4. 2. Historical background; 5. 3. Named entity recognition; 6. 4. Relation extraction; 7. 5. Information retrieval/document classification; 8. 6. Concept normalization; 9. 7. Ontologies and computational lexical semantics; 10. 8. Summarization; 11. 9. Question-answering; 12. 10. Software engineering; 13. 11. Corpus construction and annotation; 14. References; 15. Index