activity
20152022
most citedMultimodal Intelligence: Representation Learning, Information Fusion, and Applications

500 citations · 1.6k across the 68 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

eess.AS2020

Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis

Guanghui Xu, Wei Song, Zhengchen Zhang +3

Despite prosody is related to the linguistic information up to the discourse structure, most text-to-speech (TTS) systems only take into account that within each sentence, which ma…

cs.CL2020★ 1 cited

Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training

Yingyao Wang, Junwei Bao, Guangyi Liu +4

This paper aims to enhance the few-shot relation classification especially for sentences that jointly describe multiple relations. Due to the fact that some relations usually keep…

cs.CL2020★ 14 cited

Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product

Tiangang Zhu, Yue Wang, Haoran Li +3

Product attribute values are essential in many e-commerce scenarios, such as customer service robots, product recommendations, and product retrieval. While in the real world, the a…

eess.AS2020★ 2 cited

Neural Kalman Filtering for Speech Enhancement

Wei Xue, Gang Quan, Chao Zhang +3

Statistical signal processing based speech enhancement methods adopt expert knowledge to design the statistical models and linear filters, which is complementary to the deep neural…

eess.AS2020★ 28 cited

Speaker Diarization with Lexical Information

Tae Jin Park, Kyu J. Han, Jing Huang +4

This work presents a novel approach for speaker diarization to leverage lexical information provided by automatic speech recognition. We propose a speaker diarization system that c…

cs.CL2020★ 4 cited

Graph Sequential Network for Reasoning over Sequences

Ming Tu, Jing Huang, Xiaodong He +1

Recently Graph Neural Network (GNN) has been applied successfully to various NLP tasks that require reasoning, such as multi-hop machine reading comprehension. In this paper, we co…