The NoRDF Project
Modeling and extracting complex information from natural language text
2024
YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy
Fabian M. Suchanek, Mehwish Alam, Thomas Bonald, Jules Soria
Conference on Research and Development in Information Retrieval, 2024
MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification
Chadi Helwe, Pierre-Henri Paris, Tom Calamai, Chloé Clavel, Fabian M. Suchanek
North American Chapter of the Association for Computational Linguistics, 2024
A Survey of Meaning Representation – From Theory to Practical Utility
Zacchary Sadeddine, Juri Opitz, Fabian M. Suchanek
North American Chapter of the Association for Computational Linguistics, 2024
Learning High-Quality and General-Purpose Phrase Representations
Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek
European ACL
2023
Knowledge Bases and Language Models: Complementing Forces
Fabian M. Suchanek, Anh Tuan Luu
International Joint Conference on Rules and Reasoning, 2023
GLADIS: A General and Large Acronym Disambiguation Benchmark
Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek
Conference of the European Chapter of the Association for Computational Linguistics, 2023
See also: Project page
2022
TINA: Textual Inference with Negation Augmentation
Chadi Helwe, Simon Coumes, Chloé Clavel, Fabian M. Suchanek
Findings of the Conference on Empirical Methods in Natural Language Processing (Find. of EMNLP, 2022)
See also: Project page
LogiTorch: A Pytorch-based library for logical reasoning on natural language
Chadi Helwe, Chloé Clavel, Fabian M. Suchanek
Demo paper at the Conference on Empirical Methods in Natural Language Processing
(EMNLP, 2022)
See also: Project page
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation (HANNA)
Cyril Chhun, Pierre Colombo, Fabian M. Suchanek, Chloé Clavel
Computational Linguistics (COLING, 2022)
See also: Project page
Combining Embeddings and Rules for Fact Prediction
Armand Boschin, Nitisha Jain, Gurami Keretchashvili, Fabian M. Suchanek
Invited paper at Summer School on Artificial Intelligence in Bergen (AIB, 2022)
Imputing Out-of-Vocabulary Embedding with LOVE Makes Language Models Robust with Little Cost
Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek
Conference of the Association for Computational Linguistics (ACL, 2022)
2021
A Hitchhiker’s Guide to Ontology
Fabian M. Suchanek
Design of Experimental Search and Information Retrieval Systems (DESIRES, 2021)
The Vagueness of Vagueness in Noun Phrases
Pierre-Henri Paris, Syrine El Aoud, Fabian M. Suchanek
Automated Knowledge Base Construction (AKBC, 2021)
Reasoning with Transformer-based Models: Deep Learning, but Shallow Reasoning
Chadi Helwe, Chloé Clavel, Fabian M. Suchanek
Automated Knowledge Base Construction (AKBC, 2021)
Non-named entities – the silent majority
Pierre-Henri Paris, Fabian M. Suchanek
Extended Semantic Web Conference (ESWC, 2021)
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian M. Suchanek
Foundations and Trends in Databases (2021)
2020
Extracting Complex Information from Natural Language Text: A Survey (pdf)
Mechket Emna Mahouachi, Fabian M. Suchanek:
Workshop paper at the Semantic and knowledge graph advances for journalism
(Semantic Journalism, CIKM , 2020)
See also: Project page
The Need to Move Beyond Triples (pdf)
Fabian M. Suchanek:
Workshop paper at the International Workshop on Narrative Extraction from Texts
(Text2Story, ECIR 2020)
See also: Slides
See also: Recorded talk
Fast and Exact Rule Mining with AMIE 3 (pdf)
Jonathan Lajus, Luis Galárraga, Fabian M. Suchanek:
Full paper at the Extended Semantic Web Conference (ESWC, 2020)
YAGO 4: A Reason-able Knowledge Base (pdf)
Thomas Pellissier Tanon, Gerhard Weikum, Fabian M. Suchanek:
Short paper at the Extended Semantic Web Conference (ESWC, 2020)
2019