Skip to content

This code accompanies the paper "Disambiguatory signals are stronger in word initial positions" published in EACL 2021.

License

Notifications You must be signed in to change notification settings

tpimentelms/frontload-disambiguation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

frontload-disambiguation

CircleCI

This code accompanies the paper "Disambiguatory signals are stronger in word initial positions" published in EACL 2021.

Install

To install dependencies run:

$ conda env create -f environment.yml

And then install the appropriate version of pytorch:

$ conda install -y pytorch torchvision cudatoolkit=10.1 -c pytorch
$ # conda install pytorch torchvision cpuonly -c pytorch

Get Data

CELEX

CELEX data can be obtained at https://catalog.ldc.upenn.edu/LDC96L14/. You can process it with the command:

$ make LANGUAGE=<language> DATASET=celex

Languages: eng, deu, nld.

NorthEuraLex

NorthEuraLex data already comes with this repo. To preprocess it, run:

$ make LANGUAGE=<language> DATASET=northeuralex

with any language in NorthEuraLex, e.g. por.

Wikipedia

To get the wikipedia tokenized data use the code in the Wikipedia Tokenizer repository.

Train and evaluate the models

You can train your models using random search with the command

$ make LANGUAGE=<language> DATASET=<dataset>

There are three datasets available in this repository: celex; northeuralex; and wiki.

To train the model in all languages from one of the datasets, run

$ python src/h02_learn/train_all.py --dataset <dataset> --data-path data/<dataset>/

The names of the models in this repository differ from the paper. They are: norm (Forward); rev (Backward); cloze (Cloze); unigram (Unigram); position-nn (Position-specific).

Print and Plot Paper Results

To make the first page plot (forward and backward surprisal plots) use command:

$ make plot_first_page

To get and print the p-values used in the statistical significance tests

$ make p_value MODEL=<model> DATASET=<dataset>

The command to plot Figures 2 and 3 is:

$ make plot_bin

the plots will be created in folder results/. Finally, to print Tables 2 and 3 run:

$ make print_eow
$ make print_diffs

Extra Information

Citation

If this code or the paper were usefull to you, consider citing it:

@inproceedings{pimentel-etal-2021-disambiguatory,
    title = "Disambiguatory signals are stronger in word initial positions",
    author = "Pimentel, Tiago and
    Cotterell, Ryan and
    Roark, Brian",
    booktitle = "Proceedings of the 16th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers",
    year = "2021",
    publisher = "Association for Computational Linguistics",
}

Contact

To ask questions or report problems, please open an issue.

About

This code accompanies the paper "Disambiguatory signals are stronger in word initial positions" published in EACL 2021.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published