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20172023
most citedMultimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems

58 citations · 156 across the 20 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CL2019★ 22 cited

Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks

Minh Nguyen, Gia H. Ngo, Nancy F. Chen

Logographs (Chinese characters) have recursive structures (i.e. hierarchies of sub-units in logographs) that contain phonological and semantic information, as developmental psychol…

cs.CL2019★ 1 cited

Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding

Jiewen Wu, Luis Fernando D'Haro, Nancy F. Chen +2

We propose an architecture to jointly learn word and label embeddings for slot filling in spoken language understanding. The proposed approach encodes labels using a combination of…

cs.CL2019★ 7 cited

Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations

Zhengyuan Liu, Angela Ng, Sheldon Lee +2

Due to the lack of publicly available resources, conversation summarization has received far less attention than text summarization. As the purpose of conversations is to exchange…

cs.CL2019★ 58 cited

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems

Hung Le, Doyen Sahoo, Nancy F. Chen +1

Developing Video-Grounded Dialogue Systems (VGDS), where a dialogue is conducted based on visual and audio aspects of a given video, is significantly more challenging than traditio…

cs.CL2019★ 4 cited

Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring

Zhengyuan Liu, Hazel Lim, Nur Farah Ain Binte Suhaimi +9

Data for human-human spoken dialogues for research and development are currently very limited in quantity, variety, and sources; such data are even scarcer in healthcare. In this w…