Loic Kwate Dassi, Matteo Manica, et al.
ACS Fall 2022
Wikification of large corpora is beneficial for various NLP applications. Existing methods focus on quality performance rather than run-time, and are therefore non-feasible for large data. Here, we introduce RedW, a run-time oriented Wikification solution, based on Wikipedia redirects, that can Wikify massive corpora with competitive performance. We further propose an efficient method for estimating RedW confidence, opening the door for applying more demanding methods only on top of RedW lower-confidence results. Our experimental results support the validity of the proposed approach.
Loic Kwate Dassi, Matteo Manica, et al.
ACS Fall 2022
Thomas Bohnstingl, Ayush Garg, et al.
ICASSP 2022
Ling Liu, Ishan Jindal, et al.
NAACL 2022
Michael Glass, Md Faisal Mahbub Chowdhury, et al.
ACL-IJCNLP 2021