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Rongzhi Zhang's Projects

active-ner icon active-ner

Bayesian Deep Active Learning for Named entity recognition (NER)

active-nlp icon active-nlp

Bayesian Deep Active Learning for Natural Language Processing Tasks

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

bert-ner icon bert-ner

Pytorch-Named-Entity-Recognition-with-BERT

dynamic_social_networks icon dynamic_social_networks

CSC 555 Social Computing - Project | Social network analysis traditionally makes use of unweighted graphs, with no other information between peers except for acknowledgement of existence of a link. In our work, we attempt to construct a weighted graph using user interactions, where weights represent the degree of recent frequent interaction. We reward the links among users for each interaction and also decay those rewards over time. We therefore, use such recent interactions as evidence of a stronger bond and assign weights accordingly. Finally, we optimize our values of rewards and decay using some power laws which are exhibited by real world weighted networks

hmeae icon hmeae

Source code for EMNLP-IJCNLP 2019 paper "HMEAE: Hierarchical Modular Event Argument Extraction".

modal icon modal

A modular active learning framework for Python

prboost icon prboost

The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.

seqmix icon seqmix

The repository for our EMNLP'20 paper SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup.

sltk icon sltk

序列化标注工具,基于PyTorch实现BLSTM-CNN-CRF模型,CoNLL 2003 English NER测试集F1值为91.10%(word and char feature)。

social_networks icon social_networks

Draw graphs of relationships between users based on recursive scraping of follower / following status.

textfooler icon textfooler

A Model for Natural Language Attack on Text Classification and Inference

transformers icon transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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