Real-world Conversational AI for Hotel Bookings
TABLE II: Results of NER Model
['[BOLD] Entity Type', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1']
The model initialized with SpaCy’s English NER model, then fine-tuned using our data, consisting of 21K messages labelled with hotel and location entities. Our first model treats hotels and locations as separate entities, while our second model merges them and considers both hotels and locations as a single combined entity type. All models are evaluated by their precision, recall, and F1 scores for each entity type.