41 citations · 64 across the 5 of their papers we have counts for
5 papers
Open Vocabulary Learning for Neural Chinese Pinyin IME
Zhuosheng Zhang, Yafang Huang, Hai Zhao
Pinyin-to-character (P2C) conversion is the core component of pinyin-based Chinese input method engine (IME). However, the conversion is seriously compromised by the ambiguities of…
Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet
Yafang Huang, Hai Zhao
Chinese pinyin input method engine (IME) converts pinyin into character so that Chinese characters can be conveniently inputted into computer through common keyboard. IMEs work rel…
Lingke: A Fine-grained Multi-turn Chatbot for Customer Service
Pengfei Zhu, Zhuosheng Zhang, Jiangtong Li +2
Traditional chatbots usually need a mass of human dialogue data, especially when using supervised machine learning method. Though they can easily deal with single-turn question ans…
Effective Character-augmented Word Embedding for Machine Reading Comprehension
Zhuosheng Zhang, Yafang Huang, Pengfei Zhu +1
Machine reading comprehension is a task to model relationship between passage and query. In terms of deep learning framework, most of state-of-the-art models simply concatenate wor…
Subword-augmented Embedding for Cloze Reading Comprehension
Zhuosheng Zhang, Yafang Huang, Hai Zhao
Representation learning is the foundation of machine reading comprehension. In state-of-the-art models, deep learning methods broadly use word and character level representations.…