Natural language processing: state of the art, current trends and challenges
Diksha Khurana low, Aditya Koli low, Kiran Khatter, Sukhdev Singh
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- Natural language processing: state of the art, current trends and challenges→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
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- A comparison of event models for naive bayes text classification→Naive (Bayes) at forty: The independence assumption in information retrievalLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- A unified architecture for natural language processing→The Proposition Bank: An Annotated Corpus of Semantic RolesLegacy edge — source detail unavailable
- Distributed Representations of Words and Phrases and their Compositionality→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Natural language processing: an introduction→Foundations of statistical natural language processingLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Transformer-XL: Attentive Language Models beyond a Fixed-Length Context→Long Short-Term MemoryLegacy edge — source detail unavailable
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| Topic Modeling | Computer Science |
| Natural Language Processing Techniques | Computer Science |
| Text and Document Classification Technologies | Computer Science |
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