Fine-grained Entailment: Resources for Greek NLI and Precise Entailment
Paper i proceeding, 2022
In this paper, we present a number of fine-grained resources for Natural Language Inference (NLI). In particular, we present a number of resources and validation methods for Greek NLI and a resource for precise NLI. 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. The new resource contains an additional 428 examples, making it in total a dataset of 774 examples. Expert annotators have been used in order to create the additional resource, while extensive validation of the original Greek version of the FraCaS by non-expert and expert subjects is performed. Next, we continue the work initiated by (CITATION), according to which a subset of the RTE problems have been labeled for missing hypotheses and we present a dataset an order of magnitude larger, annotating the whole SuperGlUE/RTE dataset with missing hypotheses. Lastly, we provide a de-dropped version of the Greek XNLI dataset, where the pronouns that are missing due to the pro-drop nature of the language are inserted. We then run some models to see the effect of that insertion and report the results.
Författare
Erini Amanaki
Panepistimio Kritis
Jean-Philippe Bernardy
Göteborgs universitet
Chalmers, Data- och informationsteknik, Computing Science
Stergios Chatzikyriakidis
Panepistimio Kritis
Robin Cooper
Göteborgs universitet
Simon Dobnik
Göteborgs universitet
Aram Karimi
Göteborgs universitet
Adam Ek
Göteborgs universitet
Eirini Chrysovalantou Giannikouri
Panepistimio Kritis
Vasiliki Katsouli
Panepistimio Kritis
Ilias Kolokousis
Panepistimio Kritis
Eirini Chrysovalantou Mamatzaki
Panepistimio Kritis
Dimitrios Papadakis
Panepistimio Kritis
Olga Petrova
Panepistimio Kritis
Erofili Psaltaki
Panepistimio Kritis
Charikleia Soupiona
Panepistimio Kritis
Effrosyni Skoulataki
Panepistimio Kritis
Christina Stefanidou
Panepistimio Kritis
Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages
44-52
978-2-493814-06-7 (ISBN)
Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages
Marseilles, France,
Marseilles, France,
Ämneskategorier (SSIF 2025)
Språkbehandling och datorlingvistik
Psykologi
Jämförande språkvetenskap och allmän lingvistik