KNOREX research scientists Yiping Jin and Vishakha Kadam will be presenting their team’s research papers titled “Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia” and “Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation” at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021).
The event provides a preeminent forum for the dissemination of the latest developments in computational linguistics and natural language processing. Roughly 3000 researchers from academia and industry are expected to attend the conference online this year.
Both papers cover novel methods KNOREX deployed to build contextual advertising classifiers in a weakly supervised manner (without any human-labeled documents).
Congratulations to our R&D Team!
