Pinned Repositories
across_linguages
across_models
ConceptFERE
This code is the source code of our paper "Entity Concept-enhanced Few-shot Relation Extraction" in the ACL2021
D-HAN
The source code of D-HAN
Ered
KESA
The source code of KESA
KnowledgeCorpus
Some corpus used for pre-training entity- or description-related tasks
tracenet
This is the source code of TraceNet: Tracing and Locating the Key Elements in Sentiment Analysis
Wikipedia_annotator
Wikipedia plain text, anchors and their positions, associated entities extractor
wsdm-digg-2020
lshowway's Repositories
lshowway/KESA
The source code of KESA
lshowway/D-HAN
The source code of D-HAN
lshowway/wsdm-digg-2020
lshowway/tracenet
This is the source code of TraceNet: Tracing and Locating the Key Elements in Sentiment Analysis
lshowway/Ered
lshowway/ConceptFERE
This code is the source code of our paper "Entity Concept-enhanced Few-shot Relation Extraction" in the ACL2021
lshowway/GPTOrder
lshowway/KnowledgeCorpus
Some corpus used for pre-training entity- or description-related tasks
lshowway/Wikipedia_annotator
Wikipedia plain text, anchors and their positions, associated entities extractor
lshowway/across_linguages
lshowway/across_models
lshowway/KnowBERT_huggingface
It is the huggingface version of KnowBERT, re-writted according to the Allennlp version.
lshowway/lshowway
Config files for my GitHub profile.
lshowway/nlp_pos
lshowway/consistency
init
lshowway/Interpret_Instruction_Tuning_LLMs
Understanding Why and How Instruction Tuning Changes Pre-trained Models
lshowway/llama
Inference code for LLaMA models
lshowway/LLM-tuning
llama，chatglm 等模型的微调
lshowway/llm_interview_note
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
lshowway/platonic-rep
lshowway/pytorch-pretrained-BERT
A copy from https://github.com/huggingface/pytorch-pretrained-BERT
lshowway/pytorch-pretrained-BERT-1
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
lshowway/qinghuazhao.github.io
CV is included
lshowway/Sentiment-Lexicon
This resource consists of 5,106 negative words, 2759 positive words, 33 negation words and 62 intensifiers.
lshowway/XICL