Thomas Frick, Cezary Skura, et al.
CVPR 2024
Electronically available multi-modal data (primarily text and meta-data) is unprecedented in terms of its volume, variety, velocity, (and veracity). The increased interest and investment in cognitive computing for building systems and solutions that enable and support richer human-machine interactions presents a unique opportunity for novel statistical models for natural language processing. In this talk, I will describe a journey at IBM during the past three decades in developing novel statistical models for NLP covering statistical parsing, machine translation, and question-answering systems. Along with a discussion of some of the recent successes, I will discuss some difficult challenges that need to be addressed to achieve more effective cognitive systems and applications.
Thomas Frick, Cezary Skura, et al.
CVPR 2024
Eugene H. Ratzlaff
ICDAR 2001
Weiming Hu, Nianhua Xie, et al.
IEEE TPAMI
Tanveer Syeda-Mahmood, Dragutin Petkovic
Signal Processing: Image Communication