3 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
CoHS-CQG: Context and History Selection for Conversational Question Generation
Xuan Long Do, Bowei Zou, Liangming Pan +3
Conversational question generation (CQG) serves as a vital task for machines to assist humans, such as interactive reading comprehension, through conversations. Compared to traditi…
Improving Lexical Embeddings for Robust Question Answering
Weiwen Xu, Bowei Zou, Wai Lam +1
Recent techniques in Question Answering (QA) have gained remarkable performance improvement with some QA models even surpassed human performance. However, the ability of these mode…
Addressing the Vulnerability of NMT in Input Perturbations
Weiwen Xu, Ai Ti Aw, Yang Ding +2
Neural Machine Translation (NMT) has achieved significant breakthrough in performance but is known to suffer vulnerability to input perturbations. As real input noise is difficult…
Data Diversification: A Simple Strategy For Neural Machine Translation
Xuan-Phi Nguyen, Shafiq Joty, Wu Kui +1
We introduce Data Diversification: a simple but effective strategy to boost neural machine translation (NMT) performance. It diversifies the training data by using the predictions…