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Found 3 papers, 2 papers with code
Process Mining Embeddings: Learning Vector Representations for Petri Nets
The results demonstrate that PetriNet2Vec effectively captures the structural properties of process models, enabling accurate process classification and efficient process retrieval.
Task Conditioned BERT for Joint Intent Detection and Slot-filling
Dialogue systems need to deal with the unpredictability of user intents to track dialogue state and the heterogeneity of slots to understand user preferences.
Hierarchical Qualitative Clustering: clustering mixed datasets with critical qualitative information
Clustering can be used to extract insights from data or to verify some of the assumptions held by the domain experts, namely data segmentation.
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