Interpreting deep learning models for entity resolution: an experience report using LIME.
Vincenzo Di CiccoDonatella FirmaniNick KoudasPaolo MerialdoDivesh SrivastavaPublished in: aiDM@SIGMOD (2019)
Keyphrases
- learning models
- entity resolution
- information extraction
- record linkage
- machine learning
- loss function
- markov networks
- conditional random fields
- learning algorithm
- learning tasks
- query processing
- data integration
- semi supervised learning
- data cleaning
- learning problems
- classification models
- machine learning algorithms
- link prediction
- graphical models
- support vector
- supervised learning
- privacy preserving
- natural language processing
- cost sensitive
- semi supervised
- knowledge discovery
- active learning
- maximum likelihood