Analogies Between Short Sentences: A Semantico-Formal Approach
2022; Springer Science+Business Media; Linguagem: Inglês
10.1007/978-3-031-05328-3_11
ISSN1611-3349
Autores Tópico(s)Semantic Web and Ontologies
ResumoThe present article proposes a method to solve analogies between sentences by combining existing techniques to solve formal analogies between strings and semantic analogies between words. The method is applied on sentences from the Tatoeba corpus. Two datasets of more than five thousand semantico-formal analogies, in English and French, are released.
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