Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension.
Shusen LiuTao LiZhimin LiVivek SrikumarValerio PascucciPeer-Timo BremerPublished in: EMNLP (Demonstration) (2018)
Keyphrases
- natural language
- random fields
- probabilistic model
- visual tasks
- data sets
- autoregressive
- complex systems
- information extraction
- image retrieval
- low level
- bayesian networks
- decision trees
- visual features
- question answering
- knowledge base
- experimental data
- statistical models
- artificial intelligence
- machine learning
- structured prediction
- neural network