Speech Recognition using Biologically-Inspired Neural Networks
Thomas Bohnstingl, Ayush Garg, et al.
ICASSP 2022
We describe a large, high-quality benchmark for the evaluation of Mention Detection tools. The benchmark contains annotations of both named entities as well as other types of entities, annotated on different types of text, ranging from clean text taken from Wikipedia, to noisy spoken data. The benchmark was built through a highly controlled crowd sourcing process to ensure its quality. We describe the benchmark, the process and the guidelines that were used to build it. We then demonstrate the results of a state-of-the-art system running on that benchmark.
Thomas Bohnstingl, Ayush Garg, et al.
ICASSP 2022
Massimiliano Pronesti, Joao Bettencourt-Silva, et al.
ACL 2025
Bingsheng Yao, Dakuo Wang, et al.
ACL 2022
Guanhua Zhang, Bing Bai, et al.
ACL 2019