Welcome 😊 !
This is the repo for our EACL2021 paper STAR: Cross-modal STAtement Representation for selecting relevant mathematical premises.
The dataset used in this work can be found in the ```dataset''' folder, containg the randomly retrieved pairs and the similar (BM25 retrieved) pairs.
Run this command to install the requirements:
pip install -r requirements.txt
Use the following command to run STAR:
python -m crossmodal_embedding.flows.train_star_flow --num_negatives=[NUM_NEG] \
--use_similar or --use_random [Only one option allowed]
where num_negatives is the number of negative pairs for each positive one.
For example, to run STAR with 1 negative pair for each positive one and using the randomly retrieved pairs, the following command should be run:
python -m crossmodal_embedding.flows.train_star_flow --num_negatives=1 --use_random
You can cite our paper using:
@inproceedings{ferreira-freitas-2021-star,
title = "{STAR}: Cross-modal [{STA}]tement [{R}]epresentation for selecting relevant mathematical premises",
author = "Ferreira, Deborah and
Freitas, Andr{\'e}",
booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
month = apr,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2021.eacl-main.282",
pages = "3234--3243"
}
If you have any question, suggestions or ideas related to this dataset, please do not hesitate to contact me.
deborah[dot]ferreira[at]manchester[dot]ac[dot]uk
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