Evaluation of a Feature Set with Word Embeddings to Improve Named Entity Recognition on Tweets.
Onur BüyüktopaçTankut AcarmanPublished in: CORES (2019)
Keyphrases
- feature set
- named entity recognition
- named entities
- information extraction
- linguistic features
- co occurrence
- natural language processing
- feature selection
- word sense disambiguation
- noun phrases
- random forest
- feature vectors
- semi supervised
- maximum entropy classifier
- classification accuracy
- relation extraction
- feature extraction
- annotated corpus
- maximum entropy
- feature space
- conditional random fields
- named entity recognizer
- text mining
- n gram
- text summarization
- question answering
- base classifiers
- dimensionality reduction
- semantic role labeling
- knowledge discovery
- training set
- pattern recognition
- decision trees