# Graph-Convolutional-Networks-with-Argument-Aware-Pooling-for-Event-Detection

**Repository Path**: billy_liu/Graph-Convolutional-Networks-with-Argument-Aware-Pooling-for-Event-Detection

## Basic Information

- **Project Name**: Graph-Convolutional-Networks-with-Argument-Aware-Pooling-for-Event-Detection
- **Description**: Implement model in paper Graph Convolutional Networks with Argument-Aware Pooling for Event Detection
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-30
- **Last Updated**: 2020-12-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Graph-Convolutional-Networks-With-Argument-Aware-Pooling-for-Event-Detection
implement model in paper Graph Convolutional Networks With Argument-Aware Pooling for Event Detection

# Preprocessing data:
- Transform format data from ACE format to json format from here: https://github.com/nlpcl-lab/ace2005-preprocessing.git
- build vocabularies : rebuild event vocab(BIO format in this project, include vocab[PAD] =-100), entity vocab( BIO format include pad label, id=0), word vocab( include pad token with id=0, unknow token with id =1) or just use vocabs from data folder
- use load_data_json and window_encode2 functions in utils.py to build data that will be fed into model
# Train model:
- hyperparameters of model are stored in Config class
- example for training model have in file model.py( use EDModel2)
 
 # References: 
Graph Convolutional Networks With Argument-Aware Pooling for Event Detection, 
Thien Huu Nguyen, Ralph Grishman<br>
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation, 
Xiao Liu† and Zhunchen Luo‡ and Heyan Huang†∗