Таңбалау функциялары

AbstractData programming aims to reduce the cost of curating training data by encoding domain knowledge as labeling functions over source data. As such it not only requires domain expertise but …...

Weakly supervised methods estimate the la- bels for a dataset using the predictions of sev- eral noisy supervision sources. Many machine learning practitioners have begun using weak supervision to more …...

AbstractA critical bottleneck in supervised machine learning is the need for large amounts of labeled data which is expensive and time-consuming to obtain. Although a small amount of labeled data …...

AbstractNeural natural language generation (NLG) and understanding (NLU) models are costly and require massive amounts of annotated data to be competitive. Recent data programming frameworks address this bottleneck by allowing …...