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 …

The development of deep learning techniques has allowed Neural Machine Translation
(NMT) models to become extremely powerful, given sufficient training data and training time …

Logographs (Chinese characters) have recursive structures (ie hierarchies of sub-units in
logographs) that contain phonological and semantic information, as developmental …

Many models learn representations of knowledge graph data by exploiting its low-rank latent
structure, encoding known relations between entities and enabling unknown facts to be …

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 …

In this paper, we describe how we unearthed some fundamental problems while building an
analogy dataset modelled on BATS (Gladkova et al., 2016) to evaluate historical Irish …

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 …

The terminology in radiological technology is crucial, encompassing a broad range of
principles from radiation to medical imaging, and involving various specialists. This study …

Word embedding models have become commonplace in a wide range of NLP applications.
In order to train and use the best possible models, accurate evaluation is needed. For …

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 …