Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks

Automatic definition extraction from texts is an important task that has numerous applications in several natural language processing fields such as summarization, analysis of scientific texts, automatic taxonomy generation, ontology generation, concept identification, and question answering. For definitions that are contained within a single sentence, this problem can be viewed as a binary classification of sentences into definitions and non-definitions... (read more)

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Methods used in the Paper

Tanh Activation
Activation Functions
Memory Network
Working Memory Models
Sigmoid Activation
Activation Functions
Recurrent Neural Networks