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Targets and aspects in social media hate speech
Mainstream research on hate speech focused so far predominantly on the task of classifying
mainly social media posts with respect to predefined typologies of rather coarse-grained …
mainly social media posts with respect to predefined typologies of rather coarse-grained …
Knowledge triggering, extraction and storage via human–robot verbal interaction
This article describes a novel approach to expand in run-time the knowledge base of an
Artificial Conversational Agent. A technique for automatic knowledge extraction from the …
Artificial Conversational Agent. A technique for automatic knowledge extraction from the …
Using of Conventional Neural Network to Diagnose Scabies by Dermoscopy
In medicine, particularly dermatology, artificial intelligence has made major advances. The
usage of different networks for scabies detection, including such deep learning, has proven …
usage of different networks for scabies detection, including such deep learning, has proven …
Nested and balanced entity recognition using multi-task learning
A Waldis, L Mazzola - ar** Explainable Text Categorization in Emergent Knowledge-Domains
T Eljasik-Swoboda - 2021 - d-nb.info
Text Categorization (TC) is the act of assigning text documents to predefined categories. For
instance, to distinguish between pro-and contra arguments for a specific topic. The …
instance, to distinguish between pro-and contra arguments for a specific topic. The …
A domain specific ESA method for semantic text matching
An approach to semantic text similarity matching is concept-based characterization of
entities and themes that can be automatically extracted from content. This is useful to build …
entities and themes that can be automatically extracted from content. This is useful to build …