In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Application to Fine-Grained Named Entity Recognition.
Robert SchwarzenbergLeonhard HennigHolmer HemsenPublished in: GSCL (2017)
Keyphrases
- fine grained
- named entity recognition
- information extraction
- named entities
- coarse grained
- natural language processing
- maximum entropy
- text summarization
- semi supervised
- conditional random fields
- relation extraction
- distributed systems
- access control
- classifier ensemble
- co occurrence
- training set
- annotated corpus
- structured prediction
- artificial intelligence
- hidden markov models
- expert systems