Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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Updated
Jun 22, 2022 - Jupyter Notebook
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
[NeurIPS 2019] Spherical Text Embedding
Clustering sentence embeddings to extract message intent
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
A Rasa NLU component library
Model for learning document embeddings along with their uncertainties
Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging
A Comparative Study of Various Code Embeddings in Software Semantic Matching
Development and Application of Document Embedding for Semantic Text Retrieval
Data Collection, Processing, and Analysis
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