This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery and Linking (EDL), and detection of Situation Frames in Text and Speech (SF Text and Speech).
@article{arxiv.1902.08899,
title = {The ARIEL-CMU Systems for LoReHLT18},
author = {Aditi Chaudhary and Siddharth Dalmia and Junjie Hu and Xinjian Li and Austin Matthews and Aldrian Obaja Muis and Naoki Otani and Shruti Rijhwani and Zaid Sheikh and Nidhi Vyas and Xinyi Wang and Jiateng Xie and Ruochen Xu and Chunting Zhou and Peter J. Jansen and Yiming Yang and Lori Levin and Florian Metze and Teruko Mitamura and David R. Mortensen and Graham Neubig and Eduard Hovy and Alan W Black and Jaime Carbonell and Graham V. Horwood and Shabnam Tafreshi and Mona Diab and Efsun S. Kayi and Noura Farra and Kathleen McKeown},
journal= {arXiv preprint arXiv:1902.08899},
year = {2019}
}