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20172022
most citedTruly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text

17 citations · 36 across the 8 of their papers we have counts for

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10 papers · 1 filter

cs.CL20203 cited

An End-to-End Document-Level Neural Discourse Parser Exploiting Multi-Granularity Representations

Ke Shi, Zhengyuan Liu, Nancy F. Chen

Document-level discourse parsing, in accordance with the Rhetorical Structure Theory (RST), remains notoriously challenging. Challenges include the deep structure of document-level…

cs.CL2020

UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues

Hung Le, Doyen Sahoo, Chenghao Liu +2

Building an end-to-end conversational agent for multi-domain task-oriented dialogues has been an open challenge for two main reasons. First, tracking dialogue states of multiple do…

cs.CL20203 cited

Multimodal Transformer with Pointer Network for the DSTC8 AVSD Challenge

Hung Le, Nancy F. Chen

Audio-Visual Scene-Aware Dialog (AVSD) is an extension from Video Question Answering (QA) whereby the dialogue agent is required to generate natural language responses to address u…

cs.CL2019

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.CL20191 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.CL20197 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…