Abstract
We summarise the organisation and results of the first shared task aimed at detecting the most similar texts in a large multilingual collection. The dataset of the shared was based on Wikipedia dumps with inter-language links with further filtering to ensure comparability of the paired articles. The eleven system runs we received have been evaluated using the TREC evaluation metrics.
Cite
CITATION STYLE
Sharoff, S., Zweigenbaum, P., & Rapp, R. (2015). BUCC Shared Task: Cross-Language Document Similarity. In 8th Workshop on Building and Using Comparable Corpora, BUCC 2015 - co-located with 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2015 - Proceedings (pp. 74–78). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w15-3411
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