Analogical proportions are statements of the form “A is to B as C is to D” that are used for
several reasoning and classification tasks in artificial intelligence and natural language …

Analogical proportions are statements expressed in the form “A is to B as C is to D” and are
used for several reasoning and classification tasks in artificial intelligence and natural …

Analogical proportions are statements of the form “A is to B as C is to D”. They support
analogical inference and provide a logical framework to address learning, transfer, and …

In computational linguistics, language models are probabilistic models that predict the
likelihood of words occurring within specific sentences. They are key components of many …

This study introduces a character-level approach specifically designed for Arabic NLP tasks,
offering a novel and highly effective solution to the unique challenges inherent in Arabic …

Analogical inference is a remarkable capability of human reasoning, and has been used to
solve hard reasoning tasks. Analogy based reasoning (AR) has gained increasing interest …

The success of deep learning in natural language processing raises intriguing questions
about the nature of linguistic meaning and ways in which it can be processed by natural and …

Abstract Existing Image Captioning (IC) systems model words as atomic units in captions
and are unable to exploit the structural information in the words. This makes representation …

Analogical proportions are statements of the form" A is to B as C is to D". They constitute an
inference tool that provides a logical framework to address learning, transfer, and …

Recent years have seen a renewed interest in the potential of analogy detection and
analogical inference, with successful applications in Machine Learning (ML) to the retrieval …