Pinned Repositories
DEEIA
The code for Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction , Findings of ACL2024
DocuNet
Source code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
DWIE
DWIE (Deutsche Welle corpus for Information Extraction) dataset. Introduced in our "DWIE: an entity-centric dataset for multi-task document-level information extraction" paper (accepted in Information Processing and Management)
FocalLoss_for_multiclass
Focal loss for multiple class classification
GAIN
Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction
GNNAsKernel
Source code for From Stars to Subgraphs
GRAND
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
InfiniTransformer
Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
My_NLP_projects
NLP实战项目
SCPRG-master
The code implement of "Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance" in the findings of ACL 2023.
LWL-cpu's Repositories
LWL-cpu/SCPRG-master
The code implement of "Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance" in the findings of ACL 2023.
LWL-cpu/DEEIA
The code for Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction , Findings of ACL2024
LWL-cpu/DocuNet
Source code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
LWL-cpu/DWIE
DWIE (Deutsche Welle corpus for Information Extraction) dataset. Introduced in our "DWIE: an entity-centric dataset for multi-task document-level information extraction" paper (accepted in Information Processing and Management)
LWL-cpu/FocalLoss_for_multiclass
Focal loss for multiple class classification
LWL-cpu/GAIN
Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction
LWL-cpu/GNNAsKernel
Source code for From Stars to Subgraphs
LWL-cpu/GRAND
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
LWL-cpu/InfiniTransformer
Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
LWL-cpu/My_NLP_projects
NLP实战项目
LWL-cpu/NAFNet
The state-of-the-art image restoration model without nonlinear activation functions.
LWL-cpu/PMRID
ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices
LWL-cpu/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
LWL-cpu/pytorch-mobilenet-v3
MobileNetV3 in pytorch and ImageNet pretrained models
LWL-cpu/SSAN
Implementation for our AAAI2021 paper (Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction).
LWL-cpu/tools
LWL-cpu/Transformer_Relative_Position_PyTorch
Implement the paper "Self-Attention with Relative Position Representations"
LWL-cpu/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.