55 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- East China Normal UniversityCN11 papers
- Shanghai Jiao Tong UniversityCN11 papers
- National Institute of Information and Communications TechnologyJP3 papers
- Shanghai Power Equipment Research InstituteCN2 papers
- Chinese Academy of SciencesCN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Institute of Computing TechnologyCN1 paper
- Tusimple (United States)1 paper
7 papers · 1 filter
Channel-aware Decoupling Network for Multi-turn Dialogue Comprehension
Zhuosheng Zhang, Hai Zhao, Longxiang Liu
Training machines to understand natural language and interact with humans is one of the major goals of artificial intelligence. Recent years have witnessed an evolution from matchi…
Universal Multimodal Representation for Language Understanding
Zhuosheng Zhang, Kehai Chen, Rui Wang +4
Representation learning is the foundation of natural language processing (NLP). This work presents new methods to employ visual information as assistant signals to general NLP task…
Towards End-to-End Open Conversational Machine Reading
Sizhe Zhou, Siru Ouyang, Zhuosheng Zhang +1
In open-retrieval conversational machine reading (OR-CMR) task, machines are required to do multi-turn question answering given dialogue history and a textual knowledge base. Exist…
Text Compression-aided Transformer Encoding
Zuchao Li, Zhuosheng Zhang, Hai Zhao +4
Text encoding is one of the most important steps in Natural Language Processing (NLP). It has been done well by the self-attention mechanism in the current state-of-the-art Transfo…
Dialogue Graph Modeling for Conversational Machine Reading
Siru Ouyang, Zhuosheng Zhang, Hai Zhao
Conversational Machine Reading (CMR) aims at answering questions in a complicated manner. Machine needs to answer questions through interactions with users based on given rule docu…
Document-level Neural Machine Translation with Document Embeddings
Shu Jiang, Hai Zhao, Zuchao Li +1
Standard neural machine translation (NMT) is on the assumption of document-level context independent. Most existing document-level NMT methods are satisfied with a smattering sense…
On Modular Training of Neural Acoustics-to-Word Model for LVCSR
Zhehuai Chen, Qi Liu, Hao Li +1
End-to-end (E2E) automatic speech recognition (ASR) systems directly map acoustics to words using a unified model. Previous works mostly focus on E2E training a single model which…