Kiril Gashteovski

According to our database, Kiril Gashteovski authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion.

Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection.

David Dukic, Kiril Gashteovski, Goran Glavas, Jan Snajder

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Robust Text Classification: Analyzing Prototype-Based Networks.

Zhivar Sourati, Darshan Deshpande, Filip Ilievski, Kiril Gashteovski, Sascha Saralajew

CoRR, 2023

Large Language Models Enable Few-Shot Clustering.

Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig

CoRR, 2023

Leveraging Open Information Extraction for Improving Few-Shot Trigger Detection Domain Transfer.

David Dukic, Kiril Gashteovski, Goran Glavas, Jan Snajder

CoRR, 2023

Linking Surface Facts to Large-Scale Knowledge Graphs.

Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavas

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Human-Centric Research for NLP: Towards a Definition and Guiding Questions.

Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu

CoRR, 2022

A Human-Centric Assessment Framework for AI.

Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence

CoRR, 2022

KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models.

Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MILIE: Modular & Iterative Multilingual Open Information Extraction.

Bhushan Kotnis, Kiril Gashteovski, Daniel Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation.

Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark.

Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Compact open information extraction: methods, corpora, analysis.

Kiril Gashteovski

PhD thesis, 2021

Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction.

Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert

CoRR, 2021

BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens.

Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert

CoRR, 2021

Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction.

Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020

On Aligning OpenIE Extractions with Knowledge Bases: A Case Study.

Kiril Gashteovski, Rainer Gemulla, Bhushan Kotnis, Sven Hertling, Christian Meilicke

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction.

Samuel Broscheit, Kiril Gashteovski, Yanjie Wang, Rainer Gemulla

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

EAL: A Toolkit and Dataset for Entity-Aspect Linking.

Federico Nanni, Jingyi Zhang, Ferdinand Betz, Kiril Gashteovski

Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

MinScIE: Citation-Centered Open Information Extraction.

Anne Lauscher, Yide Song, Kiril Gashteovski

Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

OPIEC: An Open Information Extraction Corpus.

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

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2017

OpenIE for Slot Filling at TAC KBP 2017 - System Description.

Samuel Broscheit, Kiril Gashteovski, Martin Achenbach

Proceedings of the 2017 Text Analysis Conference, 2017

MinIE: Minimizing Facts in Open Information Extraction.

Kiril Gashteovski, Rainer Gemulla, Luciano Del Corro

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017