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Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

[Under Progress] Code & Data for the AAAI 2020 Paper "Likelihood Ratios and Generative Classifiers For Unsupervised OOD Detection In Task-Based Dialog" - Varun Gangal, Abhinav Arora, Arash Einolgho…

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

Deep Unknown Intent Detection with Margin Loss (ACL2019)

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

BERT for Coreference Resolution

An open-source NLP research library, built on PyTorch.

The 300 lines of code (Tensorflow 2) completely replicates the Transformer model and is used in neural machine translation tasks and chat bots. 300行代码（Tensorflow 2）完整复现了Transformer模型，并且应用在神经机器翻译任务和…

Stanford CoreNLP: A Java suite of core NLP tools.

End-to-end Neural Coreference Resolution

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm预训练模型）

✨Fast Coreference Resolution in spaCy with Neural Networks

pycorrector is a toolkit for text error correction. It was developed to facilitate the designing, comparing, and sharing of deep text error correction models.

the demo for bert

bert as language model, fork from https://github.com/google-research/bert

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

TensorFlow code and pre-trained models for BERT

Bert中文文本分类

Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).

GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practica…