Zvi Kons, Aharon Satt, et al.
ICASSP 2022
This paper describes a new approach, called Terminological Bucket Indexing (TBI), for efficient indexing and retrieval of both nested and super terms using a single method. We propose a hybrid data structure for facilitating faster indexing building. An evaluation of our approach with respect to widely used existing approaches on several publicly available dataset is provided. Compared to Trie based approaches, TBI provides comparable performance on nested term retrieval and far superior performance on super term retrieval. Compared to traditional hash table, TBI needs 80% less time for indexing.
Zvi Kons, Aharon Satt, et al.
ICASSP 2022
Kofi Arhin, Ioana Baldini Soares, et al.
NeurIPS 2021
Gabriele Picco, Lam Thanh Hoang, et al.
EMNLP 2021
Roy Bar-Haim, Lilach Eden, et al.
ACL-IJCNLP 2021