🧑‍🔬 Stergios Chatzikyriakidis

🏛️ Affiliations

🎓University of GothenburgGothenburg · Sweden2015–2026 · 37 paperscurrent🎓University of CreteRethymno · Greece2022–2026 · 20 paperscurrent🎓Open University of CyprusNicosia · Cyprus2011–2017 · 12 papers🎓Royal Holloway University of LondonEgham · United Kingdom2011–2015 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. How does Punctuation Affect Neural Models in Natural Language Inference (2020 · 4 citations)
   This paper asks whether neural Natural Language Inference (NLI) classifiers handle punctuation correctly. Such a model should ignore punctuation that carries no meaning, such as a missing final stop, and should notice punctuation that changes meaning, such as a comma that separates two list members. The authors built…
2. Improving the Precision of Natural Textual Entailment Problem Datasets (2020 · 3 citations)
   The authors ask whether the RTE (Recognizing Textual Entailment) datasets are fit for evaluating precise natural-language inference.
3. Can predicate-argument relationships be extracted from UD trees? (2021)
   The authors test how much predicate-argument structure a UD parse already holds, using the crowd-sourced QA-SRL data (questions like «What did something publish?» with answer spans).
4. From compositional semantics to Bayesian pragmatics via logical inference (2021)
   Montague-style formal semantics assigns precise meanings to sentences but has little to say about how context and background knowledge shape interpretation.
5. A corpus of precise natural textual entailment problems (2018)
   Precise inference systems, such as logic-based NLI built on formal semantics, need test data where entailment holds strictly and every hidden assumption is spelled out.

All works

9 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. Shami: A Corpus of Levantine Arabic DialectsProceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) · original ↗ · no summary yetKathrein Abu Kwaik et al.2018 · 95 citations
2. Testing the Generalization Power of Neural Network Models across NLI BenchmarksProceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP · original ↗ · no summary yetAarne Talman, Stergios Chatzikyriakidis2019 · 56 citations
3. How does Punctuation Affect Neural Models in Natural Language InferenceProceedings of the Probability and Meaning Conference (PaM 2020)Adam Ek, Jean-Philippe Bernardy, Stergios Chatzikyriakidis2020 · 4 citations
4. Improving the Precision of Natural Textual Entailment Problem DatasetsLanguage Resources and Evaluation Conference (LREC)Jean-Philippe Bernardy, Stergios Chatzikyriakidis2020 · 3 citations
5. Natural Language Reasoning using Coq: Interaction and AutomationActes de la 22e conférence sur le Traitement Automatique des Langues Naturelles. Articles courts · original ↗ · no summary yetChatzikyriakidis, Stergios2015 · 2 citations
6. Reasoning with RAGged events: RAG-Enhanced Event Knowledge Base Construction and reasoning with proof-assistantsarXiv:2506.07042 · original ↗ · no summary yetStergios Chatzikyriakidis2025
7. Can predicate-argument relationships be extracted from UD trees?Adam Ek, Jean-Philippe Bernardy, Stergios ChatzikyriakidisEnglish
8. From compositional semantics to Bayesian pragmatics via logical inferenceWorkshops on Natural Logic Meets Machine Learning (NALOMA)Julian Grove, Jean-Philippe Bernardy, Stergios Chatzikyriakidis2021
9. A corpus of precise natural textual entailment problemsarXiv:1812.05813Jean-Philippe Bernardy, Stergios Chatzikyriakidis2018

🤝 Co-authors here

2 co-authors with a page, the most papers together first.

• Jean-Philippe Bernardy ×5
• Adam Ek ×2

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Linguistic Annotation Workshop (LAW): LAW 2021
• Language Resources and Evaluation Conference (LREC): LREC 2020
• Workshops on Natural Logic Meets Machine Learning (NALOMA): NALOMA 2021
• Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles. Articles courts
• Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
• Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
• Proceedings of the Probability and Meaning Conference (PaM 2020)

🔗 Cited by

Papers of our library cite their works 66 times (of the 141,840 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated 24 October 2026

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