Papers by Valerio Pascucci
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension (D18-2)
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| Challenge: | Neural networks models have gained popularity due to their state-of-the-art performance but lack of interpretability hinders their deployment and refinement. |
| Approach: | They propose a visual analytic library that provides a user with a customizable visual anallytic environment. |
| Outcome: | The proposed visualization library provides an interactive environment in which the user can investigate and interrogate the relationships between input, model internals and output predictions. |