Ghent University-IBCN Participation in TAC-KBP 2014 Slot Filling

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Slot Filling is inherently more complex, which makes it more challenging Intent recognition can be seen as a multi-class classification problem, where the

slot filling and cold start tasks This was the team's first participation in both tasks The slot filling system uses dis- tant Intent detection and slot filling are the main tasks to solve when approaching the problem of Natural Language Understanding in a conversational system

jjm field user app The performance of slot filling is crucial for spoken language comprehension Aiming at the problem of low filling accuracy, an En-training model for slot Template for slot filling in natural language understanding use cases with intent classification for dialogue with Label Studio for your machine learning