| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000046158172 | |
| 005 | 20230914173504 | |
| 008 | 230908s2023 enka b 001 0 eng | |
| 010 | ▼a 2022053464 | |
| 020 | ▼a 9781108839594 ▼q (hardback) | |
| 020 | ▼z 9781108884532 ▼q (epub) | |
| 035 | ▼a (KERIS)REF000020093502 | |
| 040 | ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009 | |
| 042 | ▼a pcc | |
| 050 | 0 0 | ▼a P325.5.D38 ▼b L44 2023 |
| 082 | 0 0 | ▼a 401/.430285635 ▼2 23 |
| 084 | ▼a 401.43028563 ▼2 DDCK | |
| 090 | ▼a 401.43028563 ▼b L478a | |
| 100 | 1 | ▼a 이기용, ▼g 李基用, ▼d 1937- ▼0 AUTH(211009)93980. |
| 245 | 1 0 | ▼a Annotation-based semantics for space and time in language / ▼c Kiyong Lee ; with foreword by James Pustejovsky. |
| 260 | ▼a Cambridge : ▼b Cambridge University Press, ▼c 2023. | |
| 264 | 1 | ▼a [Cambridge] : ▼b Cambridge University Press, ▼c [2023] |
| 300 | ▼a xxv, 467 p. : ▼b ill. ; ▼c 24 cm. | |
| 336 | ▼a text ▼b txt ▼2 rdacontent | |
| 337 | ▼a unmediated ▼b n ▼2 rdamedia | |
| 338 | ▼a volume ▼b nc ▼2 rdacarrier | |
| 490 | 1 | ▼a SNLP studies in natural language processing |
| 504 | ▼a Includes bibliographical references and index. | |
| 520 | ▼a "Aimed at linguists and computer scientists working on natural language processing, this is the first book that shows, at a large scale, how to do semantics for spatio-temporal information based on annotation structures that conform to ISO international standards such as ISO-TimeML or ISO-Space"--Provided by publisher. | |
| 650 | 0 | ▼a Semantics ▼x Data processing. |
| 650 | 0 | ▼a Space and time in language. |
| 650 | 0 | ▼a Computational linguistics. |
| 700 | 1 | ▼a Pustejovsky, J. ▼q (James), ▼e writer of foreword. |
| 830 | 0 | ▼a SNLP. |
| 830 | 0 | ▼a Studies in natural language processing. |
| 900 | 1 0 | ▼a Lee, Kiyong. |
| 945 | ▼a ITMT |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 401.43028563 L478a | 등록번호 111884575 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
Foreword; Preface; Acknowledgments; Part I. Fundamentals: 1. What is a semantic annotation?; 2. Data segmentation; 3. Modeling a semantic annotation scheme; 4. Representation and serialization; 5. What does semantics do for annotation?; 6. Annotation-based semantics; Part II. Time and Events: 7. Temporal ontology; 8. Normalizing TimeML with some modifications; 9. Extending the range of temporal annotation; 10. Proper interpretation of temporal relators; Part III. Motion Space, and Time: 11. ISO-Space evolving from SpatialML; 12. Dynamic paths, projection, and orientation; 13. Toward a dynamic annotation scheme.
