A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017.
Yoo Rhee OhHyung-Bae JeonHwa Jeon SongYun-Kyung LeeJeon-Gue ParkYun-Keun LeePublished in: BEA@EMNLP (2017)
Keyphrases
- deep learning
- latent semantic analysis
- unsupervised learning
- machine learning
- text classification
- native language
- pattern recognition
- information retrieval
- image classification
- support vector
- co occurrence
- singular value decomposition
- weakly supervised
- feature selection
- feature vectors
- learning strategies
- mental models
- topic modeling
- feature extraction