90 citations · 148 across the 8 of their papers we have counts for
8 papers
Zero-Shot Sketch-Based Image Retrieval with Structure-aware Asymmetric Disentanglement
Jiangtong Li, Zhixin Ling, Li Niu +1
The goal of Sketch-Based Image Retrieval (SBIR) is using free-hand sketches to retrieve images of the same category from a natural image gallery. However, SBIR requires all test ca…
Subword ELMo
Jiangtong Li, Hai Zhao, Zuchao Li +2
Embedding from Language Models (ELMo) has shown to be effective for improving many natural language processing (NLP) tasks, and ELMo takes character information to compose word rep…
Lattice-Based Transformer Encoder for Neural Machine Translation
Fengshun Xiao, Jiangtong Li, Hai Zhao +2
Neural machine translation (NMT) takes deterministic sequences for source representations. However, either word-level or subword-level segmentations have multiple choices to split…
Judging Chemical Reaction Practicality From Positive Sample only Learning
Shu Jiang, Zhuosheng Zhang, Hai Zhao +4
Chemical reaction practicality is the core task among all symbol intelligence based chemical information processing, for example, it provides indispensable clue for further automat…
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…
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…
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…