Michelle Brachman, Christopher Bygrave, et al.
AAAI 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.
Michelle Brachman, Christopher Bygrave, et al.
AAAI 2022
Alexandre Rademaker, Guilherme Augusto Ferreira Lima, et al.
ICNLSP 2023
Lina Stein, Karthik Mukkavilli, et al.
EGU 2024
Hui Wan, Song Feng, et al.
NAACL 2021