Kiril Gashteovski

About

I am a Ph.D. candidate at the Chair of Practical Computer Science I: Data Analytics. The chair is part of the Data and Web Science Group at the University of Mannheim. I am supervised by Prof. Dr. Rainer Gemulla

Experience

2020 – present: Research Scientist at NEC Laboratories Europe GmbH in Heidelberg, Germany

2015 – 2020: PhD Researcher / Teaching Assistant at the University of Mannheim in Mannheim, Germany

2015 : Data Scientist at CupoNation GmbH in Munich, Germany

2012 – 2015: Founder / Data Scientist at Cyclope Inc in Skopje, North Macedonia

2014: R&D Consultant in Data Mining at OmegaCube in Marseille, France

2014: R&D Developer in Data Mining at INRIA / EDF in Rennes, France / Paris, France

2012 – 2013: Data Scientist at OmegaCube in Marseille, France

2010 – 2011: Research Assistant / Software Developer at South – West University “Neofit Rilski” in Blagoevgrad, Bulgaria

 

Publications

2019

Kiril Gashteovski, Sebastian Wanner, Sven Hertling, Samuel Broscheit, Rainer Gemulla

OPIEC: To Open Information Extraction Corpus

Automated Knowledge Base Construction (AKBC 2019)

[ paper , paper (author's version) , slides of AKBC talk (3 mins talk), postercode , data + other resources ] 

 

Anne Lausche, Yide Song, Kiril Gashteovski

MinScIE: Citation-centered Open Information Extraction

Joint Conference on Digital Libraries (JCDL 2019)

[ paper , code ]

 

Federico Nanni, Jingyi Zhang, Ferdinand Betz, Kiril Gashteovski

EAL: A Toolkit and Dataset for Entity Aspect Linking

Joint Conference on Digital Libraries (JCDL 2019)

[ paper , code , data , demo ]
2017

Kiril Gashteovski, Rainer Gemulla, Luciano del Corro

MinIE: Minimizing Facts in Open Information Extraction

Empirical Methods in Natural Language Processing (EMNLP 2017)

[ paper , slidescode , resources , poster]

 

Samuel Broscheit, Kiril Gashteovski, Martin Achenbach

OpenIE for Slot Filling at TAC KBP 2017 System Description

Text Analysis Conference (TAC 2017)

[ paper ]

2015

Kiril Gashteovski, Thomas Guyet, René Quiniou, Alzennyr Da Silva, Véronique Masson

Sequential pattern mining for customer relationship management analysis

Studio Gestion et Analysis de données Spatiales et Temporelles in Proc. of the International Conference on Extraction and Knowledge Management (GAST @ EGC 2015)

[ paper ]

Invited Talks and Poster Presentations

2019

“Compact Open Information Extraction on Large Corpora”  [ slides ]

Invited talk at NEC Laboratories Europe GmbH, 2019

Heidelberg, Germany

 

“Compact Open Information Extraction on Large Corpora”  [ slides ]

Invited talk at the University of New Hampshire, 2019

Durham, USA

 

“OPIEC: An Open Information Extraction Corpus” [ slides  (spotlight talk, 3 mins),  poster ]  

Proceedings of the Conference on Automated Knowledge Base Construction (AKBC), 2019

Amherst, USA

2018

“MinIE: Minimizing Facts in Open Information Extraction” [ slides ]

Conference on Learning Knowledge Data Analysis (LWDA), 2018

Mannheim, Germany

2017

“MinIE: Minimizing Facts in Open Information Extraction” [ poster presentation ]

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017

Copenhagen, Denmark

Teaching

Courses: 

  • Data Mining I 
  • Machine Learning

Seminars:

  • Data and Web Science Seminar: Deep Learning for Text Analytics
  • Data and Web Science Seminar: Graph Mining and Learning from Graphs
  • Data and Web Science Seminar: AutoML

Team projects supervisor:

  • 2015-2016: “Complaint Handling via Text Analytics for Roche” with Roche
  • 2016-2017: “Factual Text Analytics”
  • 2017-2018: “Role of Named Entities in the context of Open Information Extraction”
  • 2019: “Data analytics on a ticketing system” with Abbvie