Pinned Repositories
ASGCN
Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"
bb
BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
bert-qa
BERT for question answering starting with HotpotQA
BGAT
blog
boundary-master
CMU-MultimodalSDK
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.
Convert-Bert-TF-checkpoint-to-Pytorch
Convert Bert TF-checkpoint to Pytorch
DeepIE
DeepIE: Deep Learning for Information Extraction
xiangju2017's Repositories
xiangju2017/ASGCN
Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"
xiangju2017/bb
xiangju2017/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
xiangju2017/bert-qa
BERT for question answering starting with HotpotQA
xiangju2017/BGAT
xiangju2017/blog
xiangju2017/boundary-master
xiangju2017/CMU-MultimodalSDK
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.
xiangju2017/Convert-Bert-TF-checkpoint-to-Pytorch
Convert Bert TF-checkpoint to Pytorch
xiangju2017/DeepIE
DeepIE: Deep Learning for Information Extraction
xiangju2017/DialCoT
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models
xiangju2017/EasyConnect
Mac M1 芯片 EasyConnect 安装文件
xiangju2017/Extending-Google-BERT-as-Question-and-Answering-model-and-Chatbot
BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be able to answer well from understanding more than 10 pages of data. We can extend the BERT question and answer model to work as chatbot on large text. To accomplish the understanding of more than 10 pages of data, here we have used a specific approach of picking the data.
xiangju2017/Incontex-learning-NER-metaner-icl
Learning In-context Learning for Named Entity Recognition
xiangju2017/jieba
结巴中文分词
xiangju2017/Position-Bias-Mitigation-in-Emotion-Cause-Analysis
ACL2021:Position Bias Mitigation: A Knowledge-Aware Graph Model for EmotionCause Extraction
xiangju2017/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
xiangju2017/SECA-Sequence-tagging
xiangju2017/Seq2Seq4ATE
Codes for paper Exploring Sequence-to-Sequence Learning for Aspect Term Extraction.
xiangju2017/SeqTag-SECA
xiangju2017/SpanBERT
Code for using and evaluating SpanBERT.
xiangju2017/tensorflow-pointer-networks
Pointer Networks in Tensorflow
xiangju2017/torch-multi-head-attention
Multi-head attention in PyTorch
xiangju2017/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
xiangju2017/unsupervised-passage-reranking
Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"