An Energy-Efficient Reconfigurable LSTM Accelerator for Natural Language Processing.
Elham AzariSarma B. K. VrudhulaPublished in: IEEE BigData (2019)
Keyphrases
- natural language processing
- field programmable gate array
- information extraction
- wireless sensor networks
- energy efficient
- compute intensive
- wordnet
- computational linguistics
- text mining
- natural language
- parallel implementation
- reconfigurable architecture
- hardware implementation
- recurrent neural networks
- language processing
- text processing
- general purpose
- machine learning
- low cost
- named entity recognition
- free text
- semantic relations
- sensor networks
- text summarization
- computational biology
- artificial intelligence
- machine translation
- question answering
- word sense disambiguation
- energy consumption
- mac protocol
- knowledge representation
- ontology learning
- semantic analysis
- energy efficiency
- textual data
- end to end
- named entities
- feature engineering
- systolic array
- expert systems