Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.md

AD3

AD3: Attentive Deep Document Dater

Source code and dataset for EMNLP 2018 paper: AD3: Attentive Deep Document Dater.

Overview of AD3 (proposed method), an attention-based neural document dating system which utilizes both context and temporal information in documents in a flexible and principled manner. Please refer paper for more details.

Dependencies

  • Compatible with TensorFlow 1.x and Python 3.x.
  • Dependencies can be installed using requirements.txt.

Dataset:

Usage:

  • After installing python dependencies from requirements.txt, execute sh setup.sh for downloading GloVe embeddings.

  • ac_gcn.py and oe_gcn.py contains TensorFlow (1.x) based implementation of AD3 (proposed method).

  • To start training:

    python ac_gcn.py -data data/nyt_processed_data.pkl -class 10 -name test_run
    python oe_gcn.py -data data/nyt_processed_data.pkl -class 10 -name test_run
    • -class denotes the number of classes in datasets, 10 for NYT and 16 for APW.
    • -name is arbitrary name for the run.

About

EMNLP 2018: AD3: Attentive Deep Document Dater :: Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha Talukdar

Resources

License

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.