Search Results for author: Stergios Chatzikyriakidis

Found 27 papers, 6 papers with code

From compositional semantics to Bayesian pragmatics via logical inference

no code implementations ACL (NALOMA, IWCS) 2021 Julian Grove, Jean-Philippe Bernardy, Stergios Chatzikyriakidis

Formal semantics in the Montagovian tradition provides precise meaning characterisations, but usually without a formal theory of the pragmatics of contextual parameters and their sensitivity to background knowledge.

World Knowledge

Applied Temporal Analysis: A Complete Run of the FraCaS Test Suite

no code implementations IWCS (ACL) 2021 Jean-Philippe Bernardy, Stergios Chatzikyriakidis

In this paper, we propose an implementation of temporal semantics that translates syntax trees to logical formulas, suitable for consumption by the Coq proof assistant.

Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic

no code implementations OSACT (LREC) 2022 Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik

The usage of social media platforms has resulted in the proliferation of work on Arabic Natural Language Processing (ANLP), including the development of resources.

Dialect Identification Feature Engineering +2

A Wide-Coverage Symbolic Natural Language Inference System

no code implementations WS (NoDaLiDa) 2019 Stergios Chatzikyriakidis, Jean-Philippe Bernardy

We present a system for Natural Language Inference which uses a dynamic semantics converter from abstract syntax trees to Coq types.

Natural Language Inference

How does Punctuation Affect Neural Models in Natural Language Inference

no code implementations PaM 2020 Adam Ek, Jean-Philippe Bernardy, Stergios Chatzikyriakidis

Natural Language Inference models have reached almost human-level performance but their generalisation capabilities have not been yet fully characterized.

Natural Language Inference

GRDD: A Dataset for Greek Dialectal NLP

1 code implementation1 Aug 2023 Stergios Chatzikyriakidis, Chatrine Qwaider, Ilias Kolokousis, Christina Koula, Dimitris Papadakis, Efthymia Sakellariou

In this paper, we present a dataset for the computational study of a number of Modern Greek dialects.

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

1 code implementation NoDaLiDa 2021 Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann

We propose a new diagnostics test suite which allows to assess whether a dataset constitutes a good testbed for evaluating the models' meaning understanding capabilities.

Natural Language Inference Sentence

FraCaS: Temporal Analysis

no code implementations19 Dec 2020 Jean-Philippe Bernardy, Stergios Chatzikyriakidis

In this paper, we propose an implementation of temporal semantics which is suitable for inference problems.

Improving the Precision of Natural Textual Entailment Problem Datasets

no code implementations LREC 2020 Jean-Philippe Bernardy, Stergios Chatzikyriakidis

In this paper, we propose a method to modify natural textual entailment problem datasets so that they better reflect a more precise notion of entailment.

Natural Language Inference

Testing the Generalization Power of Neural Network Models Across NLI Benchmarks

no code implementations WS 2019 Aarne Talman, Stergios Chatzikyriakidis

We show that models trained on a natural language inference dataset drawn from one benchmark fail to perform well in others, even if the notion of inference assumed in these benchmarks is the same or similar.

Natural Language Inference Transfer Learning

A Compositional Bayesian Semantics for Natural Language

no code implementations COLING 2018 Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin

We propose a compositional Bayesian semantics that interprets declarative sentences in a natural language by assigning them probability conditions.

Sentence

``Deep'' Learning : Detecting Metaphoricity in Adjective-Noun Pairs

no code implementations WS 2017 Yuri Bizzoni, Stergios Chatzikyriakidis, Mehdi Ghanimifard

We show that using a single neural network combined with pre-trained vector embeddings can outperform the state of the art in terms of accuracy.

Transfer Learning

Natural Language Reasoning using Coq: Interaction and Automation

no code implementations JEPTALNRECITAL 2015 Stergios Chatzikyriakidis

Dans cet article, nous pr{\'e}sentons une utilisation des assistants des preuves pour traiter l{'}inf{\'e}rence en Language Naturel (NLI).

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