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Code for the paper "Creation and evaluation of longitudinal user posts", accepted at EACL 2023

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Creation and evaluation of longitudinal user posts

This repository contains the code for the paper "Creation and evaluation of longitudinal user posts", accepted at EACL 2023.

Datasets

Datasets and pickles that are referenced by the code here are stored in the directory ../datasets outside of this repository.

Installation

  1. Clone the git repo:
$ git clone [email protected]:Maria-Liakata-NLP-Group/timeline_selection_and_evaluation.git
  1. Create a conda environment:
$ conda env create --file=environment.yml
  1. Actviate the conda environment
$ conda activate lnlp_timeline_select

Running Experiments

The results of the paper can be reproduced by either running the main.py script, or by running the Jupyter notebook main.ipynb.

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Code for the paper "Creation and evaluation of longitudinal user posts", accepted at EACL 2023

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