In our lab meeting tomorrow, Jetic will give a talk on recent NMT papers, more specifically those tackling inconsistencies, model compression, and training efficiencies. Here is the title and abstract:
Beyond Chasing After BLEU Scores I
Abstract: Neural machine translation models while offer great performance promises on paper suffer severely in production, where inconsistencies in translation, huge model sizes and expensive training and inference operations hindering reliability and cost-efficiencies. In this presentation (1/2), we look at recent NMT papers published inproc ACL2019 that may help with these very specific issues.
Tuesday, November 19th, 10:30 a.m. TASC1 9408. Title: Beyond Chasing After BLEU Scores I
