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Schedule
2021
Monday, January 4th
12:00 AM

A Taxonomy for Deep Learning in Natural Language Processing

Severin Landolt, University of St.Gallen
Thiemo Wambsganss, University of St.Gallen
Matthias Söllner, University of Kassel

Online

12:00 AM - 12:00 AM

12:00 AM

ALGA: Automatic Logic Gate Annotator for Building Financial News Events Detectors

Julija Bainiaksinaite, University College London
Nikolaos Kaplis, Arabesque Asset Management
Philip Treleaven, University College London

Online

12:00 AM - 12:00 AM

12:00 AM

Business process analysis based on anomaly detection in event logs: a study on an incident management case

Esther Maria Rojas Krugger, University of São Paulo
Ana Rocío Cárdenas Maita, University of São Paulo
Juliana Cristina Barbosa Alves, University of São Paulo
Marcelo Fantinato, University of São Paulo
Sarajane Marques Peres, University of São Paulo

Online

12:00 AM - 12:00 AM

12:00 AM

Introduction to the Minitrack on Data, Text and Web Mining for Business Analytics

Dursun Delen, Oklahoma State University
Hamed Zolbanin, University of Dayton
Behrooz Davazdahemami, University of Wisconsin-Whitewater

Online

12:00 AM - 12:00 AM

12:00 AM

Mining Logomaps for Ecosystem Intelligence

Rahul Basole, Accenture AI

Online

12:00 AM - 12:00 AM

12:00 AM

Neural Machine Translation for Conditional Generation of Novel Procedures

Joppe Geluykens, IBM Research Europe, Zurich
Sandra Mitrović, Istituto Dalle Molle di Studi sull‚ÄôIntelligenza Artificiale (IDSIA), Lugano
Carlos Eduardo Ortega Vázquez, Research Center for Information Systems Engineering (LIRIS), KU Leuven, Leuven
Teodoro Laino, IBM Research Europe, Zurich
Alain Vaucher, IBM Research Europe, Zurich
Jochen De Weerdt, Research Center for Information Systems Engineering (LIRIS), KU Leuven, Leuven

Online

12:00 AM - 12:00 AM

12:00 AM

Text-based Causality Modeling with a Conceptual Label in a Hierarchical Topic Structure Using Bayesian Rose Trees

Takuro Ogawa, Osaka Prefecture University
Ryosuke Saga, Osaka Prefecture University

Online

12:00 AM - 12:00 AM