HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop (P19-3)
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| Challenge: | HITL-ML approaches are too low-level and far-removed from human’s conceptual models. |
| Approach: | They propose a prototype HITL-ML system that exposes the machine-learned model through high-level, explainable linguistic expressions formed of predicates representing semantic structure of text. |
| Outcome: | The proposed system exposes the machine-learned model through high-level, explainable linguistic expressions formed of predicates representing semantic structure of text. |
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