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001446148 001__ 1446148
001446148 003__ OCoLC
001446148 005__ 20230310003941.0
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001446148 020__ $$a9783031001291$$q(electronic bk.)
001446148 020__ $$a303100129X$$q(electronic bk.)
001446148 020__ $$z9783031001284$$q(print)
001446148 0247_ $$a10.1007/978-3-031-00129-1$$2doi
001446148 035__ $$aSP(OCoLC)1312604634
001446148 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ
001446148 049__ $$aISEA
001446148 050_4 $$aQA76.9.D3
001446148 08204 $$a005.75/65$$223
001446148 1112_ $$aDASFAA (Conference : Database systems)$$n(27th :$$d2022 :$$cOnline)
001446148 24510 $$aDatabase systems for advanced applications :$$b27th International Conference, DASFAA 2022, Virtual event, April 11-14, 2022, Proceedings.$$nPart III /$$cArnab Bhattacharya, Janice Lee Mong Li, Divyakant Agrawal, P. Krishna Reddy, Mukesh Mohania, Anirban Mondal, Vikram Goyal, Rage Uday Kiran (eds.).
001446148 2463_ $$aDASFAA 2022
001446148 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001446148 300__ $$a1 online resource (xxvi, 556 pages) :$$billustrations (some color).
001446148 336__ $$atext$$btxt$$2rdacontent
001446148 337__ $$acomputer$$bc$$2rdamedia
001446148 338__ $$aonline resource$$bcr$$2rdacarrier
001446148 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13247
001446148 500__ $$aIncludes author index.
001446148 5050_ $$aIntro -- General Chairs' Preface -- Program Chairs' Preface -- Organization -- Contents - Part III -- Text and Image Processing -- Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation -- 1 Introduction -- 2 Related Work -- 3 Approaches -- 3.1 Overview -- 3.2 Pre-training -- 3.3 Fine-Tuning on the IgERG Task -- 3.4 Structure of Model Components -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Overall Results -- 4.3 Ablation Studies on Pre-training Tasks -- 4.4 Emotion Expression in Text Generation -- 4.5 Studies on the Dataset Selection -- 5 Conclusion
001446148 5058_ $$aSemantic-Based Data Augmentation for Math Word Problems -- 1 Introduction -- 2 Related Work -- 2.1 Math Word Problem -- 2.2 Data Augmentation for Natural Language Processing (NLP) -- 3 Methodology -- 3.1 Problem Statement -- 3.2 Knowledge Augmentation -- 3.3 Logical Augmentation -- 4 Experiment -- 4.1 Dataset Analysis -- 4.2 Experimental Setup -- 4.3 Results -- 4.4 Case Study -- 5 Conclusion and Discussion -- References -- Empowering Transformer with Hybrid Matching Knowledge for Entity Matching -- 1 Introduction -- 2 Related Work -- 3 Entity Matching via GTA Framework -- 3.1 Preliminaries
001446148 5058_ $$a3.2 Graph-Based Hybrid Embedding Module -- 3.3 Adaptive Transformer-Based Entity Matching -- 4 Experimental Evaluation -- 4.1 Experimental Settings -- 4.2 Main Results -- 4.3 Detailed Analysis -- 5 Conclusion and Outlook -- References -- Tracking the Evolution: Discovering and Visualizing the Evolution of Literature -- 1 Introduction -- 2 Related Works -- 3 Latent Relationship Learning -- 3.1 Context-Consistent Factor Graph -- 4 Literature Evolution Structure Discovery -- 4.1 Literature Evolution Discovery Problem -- 4.2 Approximate Algorithm -- 5 Experiments -- 5.1 Experiment Setting
001446148 5058_ $$a5.2 Latent Relationship Study -- 5.3 Structure Study -- 5.4 Effectiveness of Our Solutions -- 5.5 Case Study -- 6 Conclusion -- References -- Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Overview -- 3.2 Heterogeneous Story Graph Construction -- 3.3 Story Heterogeneous Graph Network -- 3.4 Auxiliary Tasks -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Baseline Methods -- 4.3 Main Results -- 4.4 Ablation Study -- 4.5 Human Study and Case Study -- 5 Conclusion -- References
001446148 506__ $$aAccess limited to authorized users.
001446148 520__ $$aThe three-volume set LNCS 13245, 13246 and 13247 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held online, in April 2021. The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 demo papers and 2 PhD consortium papers are included. The conference was planned to take place in Hyderabad, India, but it was held virtually due to the COVID-19 pandemic.
001446148 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 26, 2022).
001446148 650_0 $$aDatabase management$$vCongresses.
001446148 650_0 $$aDatabases$$vCongresses.
001446148 650_6 $$aBases de données$$xGestion$$vCongrès.
001446148 655_0 $$aElectronic books.
001446148 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001446148 7001_ $$aBhattacharya, Arnab$$c(Computer scientist),$$eeditor.
001446148 7001_ $$aLee Mong Li, Janice,$$eeditor.
001446148 7001_ $$aAgrawal, Divyakant,$$eeditor.
001446148 7001_ $$aReddy, P. Krishna$$q(Polepalli Krishna),$$eeditor.$$1https://orcid.org/0000-0003-1238-5174
001446148 7001_ $$aMohania, Mukesh,$$eeditor.
001446148 7001_ $$aMondal, Anirban,$$eeditor.
001446148 7001_ $$aGoyal, Vikram,$$eeditor.
001446148 7001_ $$aUday Kiran, Rage,$$eeditor.
001446148 830_0 $$aLecture notes in computer science ;$$v13247.$$x1611-3349
001446148 852__ $$bebk
001446148 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-00129-1$$zOnline Access$$91397441.1
001446148 909CO $$ooai:library.usi.edu:1446148$$pGLOBAL_SET
001446148 980__ $$aBIB
001446148 980__ $$aEBOOK
001446148 982__ $$aEbook
001446148 983__ $$aOnline
001446148 994__ $$a92$$bISE