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Search results for natural language processing document embeddings

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2 search results found

Deep_learning_nlp ⭐ 359

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Lbl2vec ⭐ 165

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

🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging

Hierarchical Language Modeling ⭐ 5

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

Flair As Service ⭐ 5

Container-first, JSON-configurable, NLP REST service based on Flair

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