Skip to content
A Mention-Ranking Model for Abstract Anaphora Resolution
Python
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
figs
logs
models
.DS_Store
.gitignore
README.md
data_utils.py
eval.py
main.py
main_tuner.py
train.py
train_tuner.py

README.md

A Mention-Ranking Model for Abstract Anaphora Resolution

Resolution of anaphors that refer to propositions, facts, events or properties

Ana Marasovic, Leo Born, Juri Opitz, and Anette Frank (2017): A Mention-Ranking Model for Abstract Anaphora Resolution. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP). Copenhagen, Denmark.

LSTM-Siamese mention-ranking model

Requirements

Instructions

  • use main.py, train.py, models.biLSTM_SiameseMR.py to train the model for shell noun or abstract anaphora resolution
  • use main_tuner.py, train_tuner.py, models.biLSTM_SiameseMR.py to tune HPs
  • use eval.py to get figures

Data

Check this repo.

Reference

If you make use of the contents of this repository, please cite the following paper:

@InProceedings{D17-1021,
   author={Marasovi\'{c}, Ana and Born, Leo and Opitz, Juri and Frank, Anette},
   title = "A Mention-Ranking Model for Abstract Anaphora Resolution",
   booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
   year = "2017",
   publisher = "Association for Computational Linguistics",
   pages = "221--232",
   location =  "Copenhagen, Denmark",
   url = "http://aclweb.org/anthology/D17-1021"
  }
You can’t perform that action at this time.