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20182023
most citedLLMRec: Benchmarking Large Language Models on Recommendation Task

6 citations · 19 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CL2021

Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages

Atul Kr. Ojha, Chao-Hong Liu, Katharina Kann +3

We present the findings of the LoResMT 2021 shared task which focuses on machine translation (MT) of COVID-19 data for both low-resource spoken and sign languages. The organization…

cs.CL2020★ 2 cited

Multiple Segmentations of Thai Sentences for Neural Machine Translation

Alberto Poncelas, Wichaya Pidchamook, Chao-Hong Liu +2

Thai is a low-resource language, so it is often the case that data is not available in sufficient quantities to train an Neural Machine Translation (NMT) model which perform to a h…

cs.CL2018★ 3 cited

The RGNLP Machine Translation Systems for WAT 2018

Atul Kr. Ojha, Koel Dutta Chowdhury, Chao-Hong Liu +1

This paper presents the system description of Machine Translation (MT) system(s) for Indic Languages Multilingual Task for the 2018 edition of the WAT Shared Task. In our experimen…

cs.CL2018★ 4 cited

Understanding Meanings in Multilingual Customer Feedback

Chao-Hong Liu, Declan Groves, Akira Hayakawa +2

Understanding and being able to react to customer feedback is the most fundamental task in providing good customer service. However, there are two major obstacles for international…

cs.CL2018★ 4 cited

Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts

Siyou Liu, Longyue Wang, Chao-Hong Liu

Although there are increasing and significant ties between China and Portuguese-speaking countries, there is not much parallel corpora in the Chinese-Portuguese language pair. Both…