Welcome to the repository that stores L3i's participation at TREC 2021 News Track.
In this repository you will find the code used for indexing the Washington Post provided by the organizers, as well as the code related to the following main runs:
- KWVec (experiments.py)
- Lambda (experiments2.py)
- Lambda_narr (experiments2.py)
If you make use of the code provided in this repository please cite the following paper:
@inproceedings{cabrera-diego_elastic_2022,
address = {Online},
title = {Elastic {Embedded} {Background} {Linking} for {News} {Articles} with {Keywords}, {Entities} and {Events}},
booktitle = {Proceedings of the {Thirtieth} {Text} {REtrieval} {Conference} ({TREC} 2021)},
author = {Cabrera-Diego, Luis Adrián and Boros, Emanuela and Doucet, Antoine},
editor = {Ellis, Angela and Soboroff, Ian},
year = {2022},
}
Please do not hesitate in contacting us through Github issues if you find a bug or have a question related to the code. We will reply you as soon as possible.
This work is is result of the European Union H2020 Project Embeddia and NewsEye. Embeddia is a project that creates NLP tools that focuses on European under-represented languages and that has for objective to improve the accessibility of these tools to the general public and to media enterprises. Visit Embeddia's Github to discover more NLP tools and models created within this project. NewsEye is a project that develops methods and tools for digital humanities that can enhance the access to historical newspapers to a wide range of users. Visit NewsEye's Github to discover the range of tools developed for the digital humanities. As well, it has been supported by the projects ANNA and Termitrad which are funded by the Nouvelle-Aquitaine Region.