LeeSureman

Batch_Parallel_LatticeLSTM

Chinese NER using Lattice LSTM. Reproduction for ACL 2018 paper.

ConRetriever

Use contrastive learning to train a large language model (LLM) as a retriever

Flat-Lattice-Transformer

code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

ICL_Support_Example

The official implementation of the paper "Finding Support Examples for In-Context Learning".

MoT

code for Preprint paper at Arxiv: MoT: Pre-thinking and Recalling Enable ChatGPT to Self-Improve with Memory-of-Thoughts

nlp-beginner

NLP上手教程

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Sequence-Labeling-Early-Exit

Code for ACL 2021 paper: Accelerating BERT Inference for Sequence Labeling via Early-Exit

time_translation

translate human readable dates (“25th of June, 2009”) into machine readable dates (“2009-06-25”).

WordSegmentationForChineseNovels

Reproduction of "Word Segmentation for Chinese Novels"

LeeSureman/Flat-Lattice-Transformer

code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

LeeSureman/Batch_Parallel_LatticeLSTM

Chinese NER using Lattice LSTM. Reproduction for ACL 2018 paper.

LeeSureman/Sequence-Labeling-Early-Exit

Code for ACL 2021 paper: Accelerating BERT Inference for Sequence Labeling via Early-Exit

LeeSureman/MoT

code for Preprint paper at Arxiv: MoT: Pre-thinking and Recalling Enable ChatGPT to Self-Improve with Memory-of-Thoughts

LeeSureman/ICL_Support_Example

The official implementation of the paper "Finding Support Examples for In-Context Learning".

LeeSureman/WordSegmentationForChineseNovels

Reproduction of "Word Segmentation for Chinese Novels"

LeeSureman/time_translation

translate human readable dates (“25th of June, 2009”) into machine readable dates (“2009-06-25”).

LeeSureman/nlp-beginner

NLP上手教程

LeeSureman/NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

LeeSureman/ConRetriever

Use contrastive learning to train a large language model (LLM) as a retriever

LeeSureman/AR2

LeeSureman/daily_fudan

因遗留原因，自动更新不好实现，本项目不再维护，新项目地址 https://github.com/Limour-dev/daily_fudan_actions

LeeSureman/daily_fudan_actions

daily_fudan的运行器，自动定时执行https://github.com/Limour-dev/daily_fudan_core 的代码

LeeSureman/deep-code-search

DeepCS: Deep Code Search

LeeSureman/fastNLP

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

LeeSureman/FilterPlayer

FilterPlayer,using mediaplayer and GLSurfaceView

LeeSureman/graph4code

GraphGen4Code: a toolkit for creating code knowledge graphs based on WALA code analysis and extraction of documentation and forum content.

LeeSureman/joint_seg_pos

reproduction of "A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model"

LeeSureman/LeeSureman.github.io

Personal Homepage

LeeSureman/machine_learning__by_numpy

some basic machine learning algorithms realized by numpy

LeeSureman/pipreqs

pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

LeeSureman/unintelligent_gobang

my data structure course's final project

LeeSureman/XDU_CS_Learning

西电计算机专业经验分享:lollipop: