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Found 4 papers, 2 papers with code
A Neural Architecture for Person Ontology population
A person ontology comprising concepts, attributes and relationships of people has a number of applications in data protection, didentification, population of knowledge graphs for business intelligence and fraud prevention.
"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets
Further, we predict the performance accuracy of the recommended architecture on the given unknown dataset, without the need for training the model.
Fine Grained Classification of Personal Data Entities
Entity Type Classification can be defined as the task of assigning category labels to entity mentions in documents.
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF
Dialogue Act recognition associate dialogue acts (i. e., semantic labels) to utterances in a conversation.
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