CLFeb 24, 2019
The ARIEL-CMU Systems for LoReHLT18
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie
arXiv:1902.08899v16 citations
AI Analysis
This is an incremental system description for low-resource language technology researchers.
The paper describes the ARIEL-CMU systems submitted to the LoReHLT 2018 evaluations, tackling tasks like machine translation and entity linking, but it does not report specific results or numbers.
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).