activity
20182026
most citedNLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance

2 citations · 4 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CL2026

Svarna: An Open Corpus Workbench for Modern Greek

Stergios Chatzikyriakidis

This paper introduces Svarna, a free, open-source, web-based corpus workbench for modern Greek. Svarna integrates five databases covering various registers, institutional, literary…

cs.CL2026

LLMs Got Rhythm? Hybrid Phonological Filtering for Greek Poetry Rhyme Detection and Generation

Stergios Chatzikyriakidis, Anastasia Natsina

Large Language Models (LLMs), despite their remarkable capabilities across NLP tasks, struggle with phonologically-grounded phenomena like rhyme detection and generation. This is e…

cs.CL2026

Reverse-engineering NLI: A study of the meta-inferential properties of Natural Language Inference

Rasmus Blanck, Bill Noble, Stergios Chatzikyriakidis

Natural Language Inference (NLI) has been an important task for evaluating language models for Natural Language Understanding, but the logical properties of the task are poorly und…

cs.CL2025

GRDD+: An Extended Greek Dialectal Dataset with Cross-Architecture Fine-tuning Evaluation

Stergios Chatzikyriakidis, Dimitris Papadakis, Sevasti-Ioanna Papaioannou +1

We present an extended Greek Dialectal Dataset (GRDD+) 1that complements the existing GRDD dataset with more data from Cretan, Cypriot, Pontic and Northern Greek, while we add six…

cs.CL2025

Reasoning with RAGged events: RAG-Enhanced Event Knowledge Base Construction and reasoning with proof-assistants

Stergios Chatzikyriakidis

Extracting structured computational representations of historical events from narrative text remains computationally expensive when constructed manually. While RDF/OWL reasoners en…

cs.CL2024

On Tables with Numbers, with Numbers

Konstantinos Kogkalidis, Stergios Chatzikyriakidis

This paper is a critical reflection on the epistemic culture of contemporary computational linguistics, framed in the context of its growing obsession with tables with numbers. We…

cs.CL2023

OYXOY: A Modern NLP Test Suite for Modern Greek

Konstantinos Kogkalidis, Stergios Chatzikyriakidis, Eirini Chrysovalantou Giannikouri +8

This paper serves as a foundational step towards the development of a linguistically motivated and technically relevant evaluation suite for Greek NLP. We initiate this endeavor by…

cs.CL2023

GRDD: A Dataset for Greek Dialectal NLP

Stergios Chatzikyriakidis, Chatrine Qwaider, Ilias Kolokousis +3

In this paper, we present a dataset for the computational study of a number of Modern Greek dialects. It consists of raw text data from four dialects of Modern Greek, Cretan, Ponti…

cs.CL2022

How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets

Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis +1

A central question in natural language understanding (NLU) research is whether high performance demonstrates the models' strong reasoning capabilities. We present an extensive seri…

cs.CL2021★ 2 cited

NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance

Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis +1

Pre-trained neural language models give high performance on natural language inference (NLI) tasks. But whether they actually understand the meaning of the processed sequences rema…

cs.CL2020★ 1 cited

FraCaS: Temporal Analysis

Jean-Philippe Bernardy, Stergios Chatzikyriakidis

In this paper, we propose an implementation of temporal semantics which is suitable for inference problems. This implementation translates syntax trees to logical formulas, suitabl…

cs.CL2018

A corpus of precise natural textual entailment problems

Jean-Philippe Bernardy, Stergios Chatzikyriakidis

In this paper, we present a new corpus of entailment problems. This corpus combines the following characteristics: 1. it is precise (does not leave out implicit hypotheses) 2. it i…

cs.CL2018★ 1 cited

Testing the Generalization Power of Neural Network Models Across NLI Benchmarks

Aarne Talman, Stergios Chatzikyriakidis

Neural network models have been very successful in natural language inference, with the best models reaching 90% accuracy in some benchmarks. However, the success of these models t…