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Comparing representations of long clinical texts for the task of patient note-identification
In this paper, we address the challenge of patient-note identification, which involves accurately matching an anonymized clinical note to its corresponding patient, represented by a set of related notes.
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).
