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| 005 | 20250707095409.0 | ||
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| 008 | 231209s2023 si a o 100 0 eng d | ||
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_a10.1007/978-981-99-8085-7 _2doi |
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_aZA4082.A78 _bI58 2023 |
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_a025.00285 _223/eng/20231211 |
| 049 | _aMAIN | ||
| 111 | 2 |
_aInternational Conference on Asia-Pacific Digital Libraries _n(25th : _d2023 : _cTaipei, Taiwan), _jauthor. |
|
| 245 | 1 | 0 |
_aLeveraging generative intelligence in digital libraries : _btowards human-machine collaboration : 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, Taipei, Taiwan, December 4-7, 2023, proceedings. _nPart I / _cDion H. Goh, Shu-Jian Chen, Suppawong Tuarob, editors. |
| 246 | 3 | 0 | _aICADL 2023 |
| 264 | 1 |
_aSingapore : _bSpringer, _c[2023] |
|
| 300 |
_a1 online resource (xvii, 273 pages) : _billustrations. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture notes in computer science series ; _v14457 |
|
| 520 | _aThis two-volume set LNCS 14457 and LNCS 14458 constitutes the refereed proceedings of the 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, held in Taipei, Taiwan, during December 4-7, 2023. The 15 full, 17 short, 2 practice papers and 12 poster papers presented in this volume were carefully reviewed and selected from 85 submissions. Based on significant contributions, the full and short papers have been classified into the following topics: include information retrieval, knowledge extraction and discovery, cultural and scholarly data, information seeking and use, digital archives and data management, design and evaluation of information environments, and applications of GAI in digital libraries. | ||
| 505 | 0 | _aIntro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- GAI and Digital Libraries -- Enhancing the Learning of Chinese Poem Creation Through an Auto-Generation and Evaluation System -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Automatic Generation System -- 3.2 Rule Judgment Subsystem -- 3.3 Scoring Subsystem -- 4 User Experiment -- 4.1 Experimental Design -- 4.2 Analysis Methods and Results -- 5 Discussion -- 6 Conclusions and Future Work -- References | |
| 505 | 8 | _aEvaluating the Use of Generative LLMs for Intralingual Diachronic Translation of Middle-Polish Texts into Contemporary Polish -- 1 Introduction -- 2 Related Work -- 3 Annotation with ChatGPT -- 4 Experiments -- 5 Evaluation -- 5.1 Automatic Evaluation -- 5.2 Human Evaluation -- 6 Conclusions -- References -- HistoChatbot: Educating History by Generating Quizzes in Social Network Services -- 1 Introduction -- 2 History-Related Data Collection -- 3 History-Focused Quiz Posting -- 4 Conclusions and Future Work -- References -- Investigation of ChatGPT Use in Research Data Retrieval -- 1 Introduction | |
| 505 | 8 | _a2 Method -- 3 Results -- 4 Discussion -- 4.1 Comparison with Keyword Search -- 4.2 Characteristics of Research Data to Be Answered by ChatGPT -- 4.3 Devising Inputs to ChatGPT -- 4.4 About the Papers We Used -- 4.5 About the LLM Used -- 5 Conclusion -- References -- Aspect-Based Sentiment Analysis of Racial Issues in Singapore: Enhancing Model Performance Using ChatGPT -- 1 Introduction -- 2 Literature Review -- 2.1 Introduction to Aspect-Based Sentiment Analysis (ABSA) -- 2.2 Review of Race-Related Studies in Singapore -- 2.3 Existing Approaches to Address Data Imbalance | |
| 505 | 8 | _a2.4 In-Context Learning -- 3 Methodology: ABSA for Social Media Analysis -- 3.1 Data Preparation -- 3.2 Method 1 - A Fine-Tuned ABSA Model -- 3.3 Method 2 - Enhancing the Fine-Tuned ABSA Model Using ChatGPT: Addressing Data Imbalance -- 3.4 Method 3 - Improving the Fine-Tuned ABSA Model via In-context Learning -- 3.5 Performance Comparison -- 4 Analysis of Racial Issues in Singapore -- 5 Discussion -- 5.1 Limitations and Challenges -- 5.2 Implications for Future Research -- 6 Conclusion -- References -- Cultural Data Analysis | |
| 505 | 8 | _aText Line Detection in Historical Index Tables: Evaluations on a New French PArish REcord Survey Dataset (PARES) -- 1 Introduction -- 2 Historical Index Table Dataset: PARES -- 2.1 PARES Dataset Description -- 2.2 Document Layout and Annotations -- 3 Document Image Analysis -- 4 Baselines for Text Line Extraction -- 4.1 Data Splits and Pre-processing -- 4.2 Implementations and Experiments -- 4.3 Results -- 5 Conclusion -- References -- Benchmarking NAS for Article Separation in Historical Newspapers -- 1 Introduction -- 2 The NAS Dataset -- 2.1 Annotation Guidelines -- 2.2 Statistics | |
| 588 | _aDescription based on online resource; title from digital title page (viewed on January 19, 2024). | ||
| 650 | 0 |
_aDigital libraries _zAsia _vCongresses. _917260 |
|
| 650 | 0 |
_aDigital libraries _zPacific Area _vCongresses. _925001 |
|
| 650 | 0 |
_aArtificial intelligence. _91340 |
|
| 650 | 6 |
_aBibliothèques virtuelles _zAsie _vCongrès. _928359 |
|
| 650 | 6 |
_aBibliothèques virtuelles _zPacifique, Région du _vCongrès. _928360 |
|
| 650 | 6 |
_aOrdinateurs. _996685 |
|
| 650 | 6 |
_aIntelligence artificielle. _915884 |
|
| 650 | 7 |
_acomputers. _2aat _91420 |
|
| 650 | 7 |
_aartificial intelligence. _2aat _91340 |
|
| 650 | 7 |
_aDigital libraries. _2fast _0(OCoLC)fst00893704 _95017 |
|
| 651 | 7 |
_aAsia. _2fast _0(OCoLC)fst01240495 _917261 |
|
| 651 | 7 |
_aPacific Area. _2fast _0(OCoLC)fst01243504 _923549 |
|
| 655 | 7 |
_aproceedings (reports) _2aat |
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| 655 | 7 |
_aConference papers and proceedings. _2fast _0(OCoLC)fst01423772 _96065 |
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| 655 | 7 |
_aConference papers and proceedings. _2lcgft _96065 |
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| 655 | 7 |
_aActes de congrès. _2rvmgf _9609890 |
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| 700 | 1 |
_aGoh, Dion, _eeditor. _925005 |
|
| 700 | 1 |
_aChen, Shu-Jiun, _eeditor. |
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| 700 | 1 |
_aTuarob, Suppawong, _eeditor. |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrint version: _aGoh, Dion H. _tLeveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration _dSingapore : Springer Singapore Pte. Limited,c2023 _z9789819980840 |
| 830 | 0 |
_aLecture notes in computer science ; _v14457. |
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| 856 | 4 | 0 | _uhttps://link.springer.com/10.1007/978-981-99-8085-7 |
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