PUMA publications for /tag/@AnalyticComp%20analyticcomputingTue Oct 11 14:35:32 CEST 2022Physical Review EFebruary2Time-invariant degree growth in preferential attachment network models101 (2)2020imported myown AnalyticComputing from:staab @AnalyticComp Thu Nov 26 10:19:52 CET 2020CoRRmarKnowledge Graphsabs/2003.023202020@AnalyticComp AnalyticComputing dblp myown 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 2020CoRRjanLearning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper.abs/1902.021692019@AnalyticComp AnalyticComputing dblp myown 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 2020CoRRaprCLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors.abs/1904.030842019@AnalyticComp AnalyticComputing dblp myown 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/2019jun1105-1109CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors.2019@AnalyticComp AnalyticComputing dblp myown 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 2020{CHI} '20: {CHI} Conference on Human Factors in Computing Systems, Honolulu, HI, USA, April 25-30, 2020DBLP:conf/chi/20201--11Leveraging Error Correction in Voice-based Text Entry by Talk-and-Gaze2020@AnalyticComp AnalyticComputing myown Sun Jun 14 16:34:00 CEST 2020Physical Review EFebruary2Time-invariant degree growth in preferential attachment network models101 (2)2020@AnalyticComp AnalyticComputing imported myown Sun Jun 14 16:34:00 CEST 2020{ETRA} '20: 2020 Symposium on Eye Tracking Research and Applications, Short Papers, Stuttgart, Germany, June 2-5, 2020DBLP:conf/etra/2020s46:1--46:5A Visualization Tool for Eye Tracking Data Analysis in the Web2020@AnalyticComp AnalyticComputing imported myown Sun Jun 14 16:34:00 CEST 2020CoRRCLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumorsabs/1904.030842019@AnalyticComp AnalyticComputing imported 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 processing2020@AnalyticComp AnalyticComputing imported Sun Jun 14 16:34:00 CEST 2020Proceedings of the 13th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019, Minneapolis, MN, USA, June 6-7, 2019DBLP:conf/semeval/20191105--1109CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors2019@AnalyticComp AnalyticComputing imported Sun Jun 14 16:34:00 CEST 2020Proceedings of the 2018 {ACM} Symposium on Eye Tracking Research {\&} Applications, {ETRA} 2018, Warsaw, Poland, June 14-17, 2018DBLP:conf/etra/201888:1--88:3Hands-free web browsing: enriching the user experience with gaze and voice modality2018@AnalyticComp AnalyticComputing imported Sun Jun 14 16:34:00 CEST 202019th {ACM/IEEE} Joint Conference on Digital Libraries, {JCDL} 2019, Champaign, IL, USA, June 2-6, 2019DBLP:conf/jcdl/2019186--195An End-to-End Approach for Extracting and Segmenting High-Variance References from {PDF} Documents2019@AnalyticComp AnalyticComputing imported Sun Jun 14 16:34:00 CEST 2020Programming Journal313Semantic Query Integration With Reason32019@AnalyticComp AnalyticComputing imported Sun Jun 14 16:34:00 CEST 2020{IEEE} Computer652--60Understanding Social Networks Using Transfer Learning512018@AnalyticComp AnalyticComputing imported Sun Jun 14 16:34:00 CEST 2020Encyclopedia of Social Network Analysis and Mining, 2nd EditionDBLP:reference/snam/2018Linked Open Data2018@AnalyticComp AnalyticComputing imported Sun Jun 14 16:34:00 CEST 2020CoRRType Checking Program Code using {SHACL} (Extended Version)abs/1907.008552019@AnalyticComp AnalyticComputing imported Sun Jun 14 16:34:00 CEST 2020International Conference on Multimodal Interaction, {ICMI} 2019, Suzhou, China, October 14-18, 2019DBLP:conf/icmi/2019329--338TouchGazePath: Multimodal Interaction with Touch and Gaze Path for Secure Yet Efficient {PIN} Entry2019@AnalyticComp AnalyticComputing imported 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 paper2018@AnalyticComp AnalyticComputing imported Sun Jun 14 16:34:00 CEST 2020CoRRKnowledge Graphsabs/2003.023202020@AnalyticComp AnalyticComputing imported @AnalyticComp analyticcomputingCommunity for tag(s) @AnalyticComp analyticcomputing