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Found 6 papers, 2 papers with code
Prédire l’aspect linguistique en anglais au moyen de transformers (Classifying Linguistic Aspect in English with Transformers )
L’aspect du verbe décrit la manière dont une action, un événement ou un état exprimé par un verbe est lié au temps ; la télicité est la propriété d’un syntagme verbal qui présente une action ou un événement comme étant mené à son terme ; la durée distingue les verbes qui expriment une action (dynamique) ou un état (statique).
About Time: Do Transformers Learn Temporal Verbal Aspect?
Aspect is a linguistic concept that describes how an action, event, or state of a verb phrase is situated in time.
How Relevant Are Selectional Preferences for Transformer-based Language Models?
Selectional preference is defined as the tendency of a predicate to favor particular arguments within a certain linguistic context, and likewise, reject others that result in conflicting or implausible meanings.
Linguistically inspired morphological inflection with a sequence to sequence model
Inflection is an essential part of every human language's morphology, yet little effort has been made to unify linguistic theory and computational methods in recent years.
Wikinflection Corpus: A (Better) Multilingual, Morpheme-Annotated Inflectional Corpus
We are evaluating a generated, multilingual inflectional corpus with morpheme boundaries, generated from the English Wiktionary (Metheniti and Neumann, 2018), against the largest, multilingual, high-quality inflectional corpus of the UniMorph project (Kirov et al., 2018).
