BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition.
Hanieh PoostchiMassimo PiccardiPublished in: IEEE Trans. Big Data (2022)
Keyphrases
- named entity recognition
- information extraction
- named entities
- natural language processing
- text summarization
- conditional random fields
- semi supervised
- maximum entropy
- loss function
- soft margin
- structured prediction
- machine learning
- reinforcement learning
- supervised learning
- training samples
- expectation maximization
- active contours
- text mining
- hidden markov models
- training set
- support vector
- information retrieval