IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks.
Anders BjörkelundAgnieszka FalenskaXiang YuJonas KuhnPublished in: CoNLL Shared Task (2) (2017)
Keyphrases
- named entity recognition
- neural network
- conditional random fields
- information extraction
- natural language processing
- coreference resolution
- named entities
- activation function
- semantic role labeling
- maximum entropy
- hidden layer
- sequence labeling
- single layer
- e learning
- multi layered
- relation extraction
- semi supervised
- feed forward
- back propagation
- multilayer perceptron
- multi layer
- dependency parsing
- feed forward neural networks
- higher order
- co occurrence
- artificial neural networks
- pattern recognition
- ims qti
- natural language learning
- syntactic dependencies
- learning tasks
- neural nets
- recurrent neural networks
- radial basis function
- question answering
- graphical models
- hidden markov models
- pairwise
- genetic algorithm
- generative model
- markov random field
- text mining
- fully connected
- fuzzy logic
- probabilistic model