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The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
natural-language-processing transformers pytorch metric-learning representation-learning semantic-search sentence-similarity sentence-embeddings allennlp self-supervised-learning contrastive-learning semantic-text-similarity
A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.
Using pre trained word embeddings (Fasttext, Word2Vec)
nlp word2vec classification gensim glove fair fasttext ai2 wordembedding wordembeddings glove-embeddings gensim-word2vec elmo-8 allennlp fasttext-python
A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Extracting scientific claims from biomedical abstracts (powered by AllenNLP)
A framework for building semantic parsers (including neural module networks) with AllenNLP, built by the authors of AllenNLP
Cross-Lingual Alignment of Contextual Word Embeddings
This repo contains all the notebooks mentioned in blog.
deep-learning cnn lstm gru style-transfer tensorflow-tutorials keras-tutorials object-detection mlp transfer-learning char-rnn bert pytorch-tutorials federated-learning allennlp cnn-visualization elmo fastai-tutorials gpt-2 transfer-learning-nlp
NLP research experiments, built on PyTorch within the AllenNLP framework.
Tutorial on how to use AllenNLP for sequence modeling (including hierarchical LSTMs and CRF decoding)
Few-shot classification in Named Entity Recognition Task
Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.
nlp semantic natural-language-processing transformers pytorch dataset transformer role labeling span bert shi srltagger srl semantic-role-labeling allennlp srl-annotations propbank conll2012 verbatlas
Custom Natural Language Processing with big and small models 🌲🌱
Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.
State-of-the-art NLP through transformer models in a modular design and consistent APIs.
python nlp natural-language-processing deep-learning transformers pytorch transformer allennlp pytorch-transformers
Template Extraction from unstructured Wikipedia text using NLP techniques.
nlp pipeline entity information-extraction spacy event-extraction relation-extraction coreference-resolution allennlp template-extraction
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