berlin-98/articlepairmatching

The code of ACL 2019 paper: Matching Article Pairs with Graphical Decomposition and Convolutions

Doc2Graph

We put the code for constructing Concept Interaction Graph and run experiments in our ACL 2019 submission here.

We also put the datasets here: Chinese News Same Event dataset (CNSE) and Chinese News Same Story dataset (CNSS).

Requirement

To run the code successfully, you will need (just install the most recent version)

• Pytorch
• Graph-tool

How to use

**Run experiments: ** Please go to src/models/CCIG, and run script.sh.

**Process data: ** Please go to src/models/CCIG/data/ and run feature_extractor.py.

Datasets: The CNSE dataset in the paper is in data/raw/event-story-cluster/same_event_doc_pair.txt, and the CNSS dataset is located in data/raw/event-story-cluster/same_story_doc_pair.txt.

**CIG visualization: ** we put some figures of CIG with community detection in the folder ``CIG visualization by graph-tool''.

Project Organization

├── LICENSE
├── README.md          <- The top-level README for developers using this project.
├── data
│
├── src                <- Source code for use in this .
   │
   └──models/CCIG         
       │
       ├── data     <- code for extract graph features 
       ├── util     <- code for some functions 
       ├── loader.py  <- code for loading graph features
       ├── main.py  <- main code for running models
       └── models   <- pytorch code for our model