237 citations · 1.2k across the 87 of their papers we have counts for
10 papers · 1 filter
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…
Effective Subword Segmentation for Text Comprehension
Zhuosheng Zhang, Hai Zhao, Kangwei Ling +4
Representation learning is the foundation of machine reading comprehension and inference. In state-of-the-art models, character-level representations have been broadly adopted to a…
Attentive Semantic Role Labeling with Boundary Indicator
Zhuosheng Zhang, Shexia He, Zuchao Li +1
The goal of semantic role labeling (SRL) is to discover the predicate-argument structure of a sentence, which plays a critical role in deep processing of natural language. This pap…
Explicit Contextual Semantics for Text Comprehension
Zhuosheng Zhang, Yuwei Wu, Zuchao Li +1
Who did what to whom is a major focus in natural language understanding, which is right the aim of semantic role labeling (SRL) task. Despite of sharing a lot of processing charact…
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…
One-shot Learning for Question-Answering in Gaokao History Challenge
Zhuosheng Zhang, Hai Zhao
Answering questions from university admission exams (Gaokao in Chinese) is a challenging AI task since it requires effective representation to capture complicated semantic relation…
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.…
Modeling Multi-turn Conversation with Deep Utterance Aggregation
Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu +2
Multi-turn conversation understanding is a major challenge for building intelligent dialogue systems. This work focuses on retrieval-based response matching for multi-turn conversa…
SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings
Zhuosheng Zhang, Jiangtong Li, Hai Zhao +1
This paper describes a hypernym discovery system for our participation in the SemEval-2018 Task 9, which aims to discover the best (set of) candidate hypernyms for input concepts o…