Cabrera-Diego, Luis Adrián
Boros, Emanuela
Doucet, Antoine
2022-03-07
<p>In this paper, we present a collection of five flexible background linking models created for the News Track in TREC 2021 that generate ranked lists of articles to provide contextual information. The collection is based on the use of sentence embeddings indexes, created with Sentence BERT and Open Distro for ElasticSearch. For each model, we explore additional tools, from keywords extraction using YAKE, to entity and event detection, while passing through a linear combination. The associated code is available online as open-source software.</p>
https://doi.org/10.5281/zenodo.6334523
oai:zenodo.org:6334523
eng
Zenodo
https://zenodo.org/communities/newseye
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.6334522
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Information system, Language models, Rank aggregation
Elastic Embedded Background Linking for News Articles with Keywords, Entities and Events
info:eu-repo/semantics/conferencePaper