- Дата: 16-07-2022, 00:21
Consistent with the metrics reported for intent prediction and slot filling evaluation prior to now, we also use accuracy for intent and micro F1 to measure slot efficiency. ID: Training and Evaluation. On top of of this, to also assist coaching and evaluation of SL fashions which aren't span-based, we additionally present worth annotations (or canonical values as named by Rastogi et al. Domain Setups. Further, experiments are run in the following area setups: (i) single-area experiments where we solely use the banking or the accommodations portion of the entire dataset; (ii) each-area experiments (termed all) where we use your complete dataset and combine the 2 domain ontologies (see Table 2); (iii) cross-domain experiments where we practice on the examples associated with one area and check on the examples from the opposite area, conserving only shared intents and slots for evaluation. POSTSUBSCRIPT (micro) is the primary analysis measure in all ID and SL experiments.