1 code implementation • MTSummit 2021 • Kelly Marchisio, Philipp Koehn, Conghao Xiong
Aimed at generating a seed lexicon for use in downstream natural language tasks and unsupervised methods for bilingual lexicon induction have received much attention in the academic literature recently.
no code implementations • AMTA 2022 • Kelly Marchisio, Conghao Xiong, Philipp Koehn
A popular natural language processing task decades ago, word alignment has been dominated until recently by GIZA++, a statistical method based on the 30-year-old IBM models.
no code implementations • 10 Mar 2023 • Conghao Xiong, Yi Lin, Hao Chen, Joseph Sung, Irwin King
Transferring prior knowledge from a source domain to the same or similar target domain can greatly enhance the performance of models on the target domain.
1 code implementation • 19 Jan 2023 • Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King
Multiple Instance Learning (MIL) and transformers are increasingly popular in histopathology Whole Slide Image (WSI) classification.
1 code implementation • 18 Apr 2021 • Kelly Marchisio, Conghao Xiong, Philipp Koehn
In the lowest-resource setting, we outperform GIZA++ by 8. 5, 10. 9, and 12 AER for Ro-En, De-En, and En-Fr, respectively.