Pierre-Henri Paris

Pierre-Henri Paris

Postdoctoral Researcher in Artificial Intelligence

Institut Polytechnique de Paris

Telecom Paris


I will begin a position as a Maître de Conférences (Associate Professor) at Paris-Saclay University in September 2024. Currently, I am a postdoctoral researcher at Télécom Paris, Institut Polytechnique de Paris. During my PhD at Conservatoire National des Arts et Métiers and Sorbonne University, I focused on entity linking and data quality of knowledge graphs.

My research interests include artificial intelligence, knowledge graphs, and natural language processing.

  • Artificial Intelligence
  • Knowlegde Graphs
  • Information Extraction
  • Knowledge Representation
  • NLP
  • PhD in Artificial Intelligence, 2020

    Sorbonne University and CNAM

  • M.Sc. in Artificial Intelligence, 2016


  • M.Sc. in Mathematics, 2008

    CY Cergy Paris University (incomplete)

Research Interests


Associate Professor (Maître de Conférences)
September 2024 – Present Orsay, France
Postdoctoral Researcher
Telecom Paris
September 2020 – August 2024 Palaiseau, France

Works on LLM, logic, and knowledge graphs.

Responsibilities include:

  • Collaborations with industrial and academic partners
  • Managing meetings with partners
  • PhD and student supervision
Sorbonne University and CNAM
October 2016 – August 2020 Paris, France
Entity linking and data quality of knowledge graphs.
March 2016 – September 2016 Saint-Mandé, France
Approach aimed at exploring historical texts describing a diachronic phenomenon based on named-entity linking.
Software Engineer
September 2007 – February 2016 Cergy-Pontoise, France

Responsibilities include:

  • Requirements analysis, solution design, development, testing and validation, maintenance, documentation to meet the company’s needs for various projects: e-commerce sites, inventory management, embedded systems, etc.
  • Student supervision
  • Team management


  • Logic and Knowledge Representation (LKR) at Telecom Paris in 2021
  • Web Data (BGD709) at Telecom Paris in 2020-now
  • Access and databases (NFE004) at CNAM in 2019
  • Web programming (US333F) at CNAM in 2017-2018
  • Database engineering and optimization (NFE106) at CNAM in 2016-2020

Supervision involvement


Yago 4.5
The last version of the Yago knowledge base is out!
This enhanced version of the YAGO knowledge base integrates extensive elements of the Wikidata taxonomy, providing a cleaner, logically consistent structure for improved information retrieval and automated reasoning.
Yago 4.5
MAFALDA is a new benchmark for fallacy classification that consolidates previous datasets into a unified taxonomy. The benchmark includes manual annotations with explanations, a specialized annotation scheme for subjective NLP tasks, and a novel evaluation method to handle subjectivity. We assessed both language models and human performance on MAFALDA to evaluate their fallacy detection and classification capabilities.
The NoRDF Project is a scientific project at Telecom Paris that aims to model and extract complex information from natural language text. More precisely, we want to enrich knowledge bases with events, causation, conditions, precedence, stories, negation, and beliefs.

Recent Publications

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(2024). YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy. SIGIR 2024.

Cite URL

(2024). MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification. NAACL 2024.


(2021). Non-named Entities - The Silent Majority. The Semantic Web: ESWC 2021 Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected Papers.


(2021). The Vagueness of Vagueness in Noun Phrases. 3rd Conference on Automated Knowledge Base Construction, AKBC 2021, Virtual, October 4-8, 2021.


(2020). A Study About the Use of OWL 2 Semantics in RDF-Based Knowledge Graphs. The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31 - June 4, 2020, Revised Selected Papers.