rz-zhang

Active-NER

Bayesian Deep Active Learning for Named entity recognition (NER)

Active-NLP

Bayesian Deep Active Learning for Natural Language Processing Tasks

Attention-PyTorch

注意力机制实践

Auto_KVC

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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

ExHalder

Module-based-few-shot-event-extraction

PRBoost

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

SeqMix

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

rz-zhang/SeqMix

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

rz-zhang/PRBoost

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

rz-zhang/Module-based-few-shot-event-extraction

rz-zhang/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

rz-zhang/ExHalder

rz-zhang/Active-NER

Bayesian Deep Active Learning for Named entity recognition (NER)

rz-zhang/Active-NLP

Bayesian Deep Active Learning for Natural Language Processing Tasks

rz-zhang/Auto_KVC

rz-zhang/awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

rz-zhang/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

rz-zhang/bert

TensorFlow code and pre-trained models for BERT

rz-zhang/BERT-BiLSTM-CRF-NER

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

rz-zhang/BERT-NER

Pytorch-Named-Entity-Recognition-with-BERT

rz-zhang/Bert_Attempt

rz-zhang/DORM

rz-zhang/hf-text-classification

rz-zhang/HMEAE

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

rz-zhang/lstm-crf-pytorch

LSTM-CRF in PyTorch

rz-zhang/modAL

A modular active learning framework for Python

rz-zhang/Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL

Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"

rz-zhang/Paper

rz-zhang/Reddit-Roles-Identification

Identify roles of redditors participated in political discussions on Reddit

rz-zhang/rz-zhang.github.io

rz-zhang/ScaleBiO

This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting

rz-zhang/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）。

rz-zhang/Social_networks

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

rz-zhang/TextFooler

A Model for Natural Language Attack on Text Classification and Inference

rz-zhang/TFKD

rz-zhang/thd-llm

rz-zhang/transformers

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