no code implementations • EMNLP (LAW, DMR) 2021 • Adam Ek, Jean-Philippe Bernardy, Stergios Chatzikyriakidis
In this paper we investigate the possibility of extracting predicate-argument relations from UD trees (and enhanced UD graphs).
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.
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.
1 code implementation • DCLRL (LREC) 2022 • Eirini Amanaki, Jean-Philippe Bernardy, Stergios Chatzikyriakidis, Robin Cooper, Simon Dobnik, Aram Karimi, Adam Ek, Eirini Chrysovalantou Giannikouri, Vasiliki Katsouli, Ilias Kolokousis, Eirini Chrysovalantou Mamatzaki, Dimitrios Papadakis, Olga Petrova, Erofili Psaltaki, Charikleia Soupiona, Effrosyni Skoulataki, Christina Stefanidou
First, we extend the Greek version of the FraCaS test suite to include examples where the inference is directly linked to the syntactic/morphological properties of Greek.
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.
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.
no code implementations • WS (NoDaLiDa) 2019 • Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleksandre Maskharashvili
In this way we construct a model, by specifying boxes for the predicates.
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.
1 code implementation • 13 Sep 2023 • Konstantinos Kogkalidis, Stergios Chatzikyriakidis, Eirini Chrysovalantou Giannikouri, Vassiliki Katsouli, Christina Klironomou, Christina Koula, Dimitris Papadakis, Thelka Pasparaki, Erofili Psaltaki, Efthymia Sakellariou, Hara Soupiona
This paper serves as a foundational step towards the development of a linguistically motivated and technically relevant evaluation suite for Greek NLP.
1 code implementation • 1 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.
1 code implementation • *SEM (NAACL) 2022 • Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann
A central question in natural language understanding (NLU) research is whether high performance demonstrates the models' strong reasoning capabilities.
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.
no code implementations • 19 Dec 2020 • Jean-Philippe Bernardy, Stergios Chatzikyriakidis
In this paper, we propose an implementation of temporal semantics which is suitable for inference problems.
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.
no code implementations • LREC 2020 • Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik, Motaz Saad, Richard Johansson
As the number of social media users increases, they express their thoughts, needs, socialise and publish their opinions reviews.
1 code implementation • SEMEVAL 2019 • Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleks Maskharashvili, re
We present BIS, a Bayesian Inference Semantics, for probabilistic reasoning in natural language.
no code implementations • 14 Dec 2018 • Jean-Philippe Bernardy, Stergios Chatzikyriakidis
In this paper, we present a new corpus of entailment problems.
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.
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.
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.
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).