Ming Tan, Yang Yu, et al.
EMNLP-IJCNLP 2019
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.
Ming Tan, Yang Yu, et al.
EMNLP-IJCNLP 2019
Shinnosuke Tanaka, Carol Mak, et al.
ACL 2024
Arvind Agarwal, Laura Chiticariu, et al.
NAACL 2021
Lilian Ngweta, Mayank Agarwal, et al.
ICLR 2024