cjy02044027's repositories
PPT
『ACL 2023 Findings』Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
nlg-eval
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
bert_seq2seq
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。
DensePhrases
ACL'2021: Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too
TextMatch
QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索(bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….)
RocketQA
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.
LaPraDoR
🦮 Code and pretrained models for Findings of ACL 2022 paper "LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval"
DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
EntityQuestions
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers
hone
Convert CSV to automatically nested JSON
Dependency-LJP
The code of "Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer".
KNN-BERT
Code for paper: KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Bleu
Calculate the Bleu Score for Machine Translated Text.
tas-balanced-dense-retrieval
SIGIR 2021: Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
GC-DPR
Train Dense Passage Retriever (DPR) with a single GPU
MLMN
This is source code of MLMN which is used to solve the law articles recommendation problem.
team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
ChineseSquad
中文机器阅读理解数据集
exploring-T5
A repo to explore different NLP tasks which can be solved using T5
quincy-python-v2
python学习过程中的积累
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.