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Found 5 papers, 1 papers with code
Solving morphological analogies: from retrieval to generation
We propose a deep learning (DL) framework to address and tackle two key tasks in AR: analogy detection and solving.
Tackling Morphological Analogies Using Deep Learning -- Extended Version
We demonstrate our model's competitive performance on analogy detection and resolution over multiple languages.
A Neural Approach for Detecting Morphological Analogies
In fact, symbolic approaches were developed to solve or to detect analogies between character strings, e. g., the axiomatic approach as well as that based on Kolmogorov complexity.
On the Transferability of Neural Models of Morphological Analogies
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 language processing (NLP).
Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings
``Classical'' word embeddings, such as Word2Vec, have been shown to capture the semantics of words based on their distributional properties.
