research
∙
05/22/2023
Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
This study investigates machine translation between related languages i....
share
research
∙
05/04/2023
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation
Conversational Question Generation (CQG) is a critical task for machines...
research
∙
09/14/2022
CoHS-CQG: Context and History Selection for Conversational Question Generation
Conversational question generation (CQG) serves as a vital task for mach...
research
∙
05/31/2022
Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model
Numerous recent work on unsupervised machine translation (UMT) implies t...
research
∙
02/28/2022
Improving Lexical Embeddings for Robust Question Answering
Recent techniques in Question Answering (QA) have gained remarkable perf...
research
∙
04/20/2021
Addressing the Vulnerability of NMT in Input Perturbations
Neural Machine Translation (NMT) has achieved significant breakthrough i...
research
∙
06/03/2020
Multi-Agent Cross-Translated Diversification for Unsupervised Machine Translation
Recent unsupervised machine translation (UMT) systems usually employ thr...
research
∙
11/05/2019
Data Diversification: An Elegant Strategy For Neural Machine Translation
A common approach to improve neural machine translation is to invent new...
research
∙
10/03/2019