GDAP

The code of paper “Code for “Generating Disentangled Arguments with Prompts: a Simple Event Extraction Framework that Works””

Event Datasets Preprocessing

We use code and environments [dygiepp] for data preprocessing. Thanks to them！

Quick Start

Data Format

  • text2et: event type detection
  • ettext2tri: trigger extraction
  • etrttext2role: argument extraction

data/text2target/dyiepp_ace1005_ettext2tri_subtype
├── event.schema
├── test.json
├── train.json
└── val.json
data/text2target
python convert_dyiepp_to_sentence.py data/raw_data/dyiepp_ace2005 # doc -> sentence
“>

python -m data_convert.convert_text_to_target # data/raw_data -> data/text2target
python convert_dyiepp_to_sentence.py data/raw_data/dyiepp_ace2005 # doc -> sentence

please wait a minute

code main reference

GitHub

https://github.com/boy56/GDAP