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Dr. Kiril Gashteovski

Senior Research Scientist

Dr. Kiril Gashteovski is a research scientist within the Human-Centered AI group. His research interests include natural language processing, knowledge graphs and explainable AI. Prior to working at NEC Laboratories Europe, Kiril was a PhD student at the University of Mannheim, Germany. He has worked at (and collaborated with) other renowned academic institutions, and has also contracted, advised and supervised projects for Fortune 500 companies, small companies and fast growing startups.

Group Involvement, NEC Laboratories Europe

Human-Centric AI Group

Research Interests

Natural Language Processing
Knowledge Graphs
Machine Learning

Publications

  • Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig. Large Language Models Enable Few-Shot Clustering. Transactions of the Association for Computational Linguistics (ACL) 2024
  • Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavaš. Linking Surface Facts to Large-Scale Knowledge Graphs. EMNLP 2023.
  • Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence. A Human-Centric Assessment Framework for AI. International Conference on Machine Learning (ICML) Workshop on Human-Machine Collaboration and Teaming 2022.
  • Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig. KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. EMNLP 2022.
  • Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavaš. BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. Association for Computational Linguistics (ACL), 2022.
  • Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert and Goran Glavaš. AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. Association for Computational Linguistics (ACL), 2022.
  • Bhushan Kotnis, Kiril Gashteovski, Daniel Onoro Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence. MILIE: Modular & Iterative Multilingual Open Information Extraction. Association for Computational Linguistics (ACL), 2022.
  • Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki. Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction. Automated Knowledge Base Construction (AKBC), 2019. Outstanding Paper Award.
  • Kiril Gashteovski, Rainer Gemulla, Bhushan Kotnis, Sven Hertling, Christian Meilicke. On Aligning OpenIE Extractions with Knowledge Bases: A Case Study. Evaluation and Comparison of NLP Systems@EMNLP (Eval4NLP@EMNLP), 2021.
  • Samuel Broscheit, Kiril Gashteovski, Yanjie Wang, Rainer Gemulla. Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction. Association for Computational Linguistics (ACL), 2020
  • Federico Nanni, Jingyi Zhang, Ferdinand Betz, Kiril Gashteovski. EAL: A Toolkit and Dataset for Entity-Aspect Linking. Joint Conference on Digital Libraries (JCDL), 2019.
  • Anne Lauscher, Yide Song, Kiril Gashteovski. MinScIE: Citation-centered Open Information Extraction. Joint Conference on Digital Libraries (JCDL), 2019.
  • Kiril Gashteovski, Rainer Gemulla, Luciano Del Corro. OPIEC: An Open Information Extraction Corpus. Automated Knowledge Base Construction (AKBC), 2019.
  • Kiril Gashteovski, Rainer Gemulla, Luciano Del Corro. MinIE: Minimizing Facts in Open Information Extraction. Empirical Methods in Natural Language Processing (EMNLP), 2017.
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