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Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)
Model training tutorials for the Stanza Python NLP Library
An open-source NLP research library, built on PyTorch.
Various utilities for processing the data.
Universal Dependencies online documentation
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
Code for the ACL 2018 paper "Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context"
PyTorch implementation of the position-aware attention model for relation extraction
An updated version of the Parser-v1 repo, used for Stanford's submission in the CoNLL17 shared task.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
kaldi-asr/kaldi is the official location of the Kaldi project.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
A Java project that generates RL parser in Java.
A Python Static Website Generator (See https://duct-ui.org from the author).