PUMA publications for /group/analyticcomp/@AnalyticCompThu Nov 30 15:25:38 CET 2023The Semantic Web: {ESWC} 2023 Satellite Events - Hersonissos, Crete, Greece, May 28 - June 1, 2023, Proceedings255--265Lecture Notes in Computer ScienceQuery Answering over the Polymorphic Web of Data139982023unibibliografie myown @ANALYTICCOMP ki ac-knowgraphs Tue Oct 11 14:35:32 CEST 2022Physical Review E022Time-invariant degree growth in preferential attachment network models101 (2)2020imported myown AnalyticComputing from:staab @AnalyticComp Thu Nov 26 10:19:52 CET 2020CoRR03Knowledge Graphsabs/2003.023202020myown AnalyticComputing @AnalyticComp dblp In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After a general introduction, we motivate and contrast various graph-based data models and query languages that are used for knowledge graphs. We discuss the roles of schema, identity, and context in knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques. We summarise methods for the creation, enrichment, quality assessment, refinement, and publication of knowledge graphs. We provide an overview of prominent open knowledge graphs and enterprise knowledge graphs, their applications, and how they use the aforementioned techniques. We conclude with high-level future research directions for knowledge graphs.Thu Nov 26 10:09:22 CET 2020CoRR01Learning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper.abs/1902.021692019myown AnalyticComputing @AnalyticComp dblp Taxonomies are semantic hierarchies of concepts. One limitation of current taxonomy learning systems is that they define concepts as single words. This position paper argues that contextualized word representations, which recently achieved state-of-the-art results on many competitive NLP tasks, are a promising method to address this limitation. We outline a novel approach for taxonomy learning that (1) defines concepts as synsets, (2) learns density-based approximations of contextualized word representations, and (3) can measure similarity and hypernymy among them. Thu Nov 26 10:05:00 CET 2020CoRR04CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors.abs/1904.030842019myown AnalyticComputing @AnalyticComp dblp This paper describes our submission to SemEval-2019 Task 7: RumourEval: Determining Rumor Veracity and Support for Rumors. We participated in both subtasks. The goal of subtask A is to classify the type of interaction between a rumorous social media post and a reply post as support, query, deny, or comment. The goal of subtask B is to predict the veracity of a given rumor. For subtask A, we implement a CNN-based neural architecture using ELMo embeddings of post text combined with auxiliary features and achieve a F1-score of 44.6%. For subtask B, we employ a MLP neural network leveraging our estimates for subtask A and achieve a F1-score of 30.1% (second place in the competition). We provide results and analysis of our system performance and present ablation experiments.Thu Nov 26 10:00:37 CET 2020SemEval@NAACL-HLTconf/semeval/2019061105-1109CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors.2019myown AnalyticComputing @AnalyticComp dblp This paper describes our submission to SemEval-2019 Task 7: RumourEval: Determining Rumor Veracity and Support for Rumors. We participated in both subtasks. The goal of subtask A is to classify the type of interaction between a rumorous social media post and a reply post as support, query, deny, or comment. The goal of subtask B is to predict the veracity of a given rumor. For subtask A, we implement a CNN-based neural architecture using ELMo embeddings of post text combined with auxiliary features and achieve a F1-score of 44.6%. For subtask B, we employ a MLP neural network leveraging our estimates for subtask A and achieve a F1-score of 30.1% (second place in the competition). We provide results and analysis of our system performance and present ablation experiments.Sun Jun 14 16:34:00 CEST 2020Wiley Interdiscip. Rev. Data Min. Knowl. Discov.3Bias in data-driven artificial intelligence systems - An introductory survey102020imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020{ETRA} '20 Adjunct: 2020 Symposium on Eye Tracking Research and Applications, Stuttgart, Germany, June 2-5, 2020, Adjunct VolumeDBLP:conf/etra/2020a1:1--1:3GIUPlayer: {A} Gaze Immersive YouTube Player Enabling Eye Control and Attention Analysis2020imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020Proceedings of the 11th {ACM} Symposium on Eye Tracking Research {\&} Applications, {ETRA} 2019, Denver , CO, USA, June 25-28, 2019DBLP:conf/etra/201974:1--74:9Impact of variable positioning of text prediction in gaze-based text entry2019imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020Encyclopedia of Social Network Analysis and Mining, 2nd EditionDBLP:reference/snam/2018{RDF}2018imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020Proceedings of the International Workshop on Software Fairness, FairWare@ICSE 2018, Gothenburg, Sweden, May 29, 2018DBLP:conf/icse/2018fairware22--28Model-based discrimination analysis: a position paper2018imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020{ACM} Trans. Comput. Hum. Interact.637:1--37:46Improving User Experience of Eye Tracking-Based Interaction: Introspecting and Adapting Interfaces262019imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020DBLP:conf/sigmod/2020sbd2:1--2:6Data placement strategies that speed-up distributed graph query processing2020imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020CoRRCLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumorsabs/1904.030842019imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020Proceedings of The 12th Language Resources and Evaluation Conference, {LREC} 2020, Marseille, France, May 11-16, 2020DBLP:conf/lrec/20204739--4748Is Language Modeling Enough? Evaluating Effective Embedding Combinations2020imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020{IEEE} International Conference on Blockchain, Blockchain 2019, Atlanta, GA, USA, July 14-17, 2019DBLP:conf/blockchain2/2019477--482Ensuring Genuineness for Selectively Disclosed Confidential Data Using Distributed Ledgers: Applications to Rail Wayside Monitoring2019imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020{KI} 2018: Advances in Artificial Intelligence - 41st German Conference on AI, Berlin, Germany, September 24-28, 2018, ProceedingsDBLP:conf/ki/2018357--365Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges2018imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020CoRRLearning Taxonomies of Concepts and not Words using Contextualized Word Representations: {A} Position Paperabs/1902.021692019imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020CoRRKnowledge Graphsabs/2003.023202020imported AnalyticComputing @AnalyticComp Sun Jun 14 16:34:00 CEST 2020Entropy4394Analyzing the Influence of Hyper-parameters and Regularizers of Topic Modeling in Terms of Renyi Entropy222020imported AnalyticComputing @AnalyticComp