activity
20132025
most citedAchieving Human Parity in Conversational Speech Recognition

477 citations · 1.7k across the 84 of their papers we have counts for

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Showing 2020Show all

11 papers · 1 filter

cs.CL2020★ 4 cited

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

Hongyu Gong, Yelong Shen, Dian Yu +2

In this paper, we study machine reading comprehension (MRC) on long texts, where a model takes as inputs a lengthy document and a question and then extracts a text span from the do…

cs.CL2020★ 12 cited

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

Jie Lei, Liwei Wang, Yelong Shen +3

Generating multi-sentence descriptions for videos is one of the most challenging captioning tasks due to its high requirements for not only visual relevance but also discourse-base…

cs.CL2020★ 23 cited

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints

Zhenyi Wang, Xiaoyang Wang, Bang An +2

Text generation from a knowledge base aims to translate knowledge triples to natural language descriptions. Most existing methods ignore the faithfulness between a generated text d…

eess.AS2020★ 1 cited

Audio-visual Multi-channel Recognition of Overlapped Speech

Jianwei Yu, Bo Wu, Rongzhi Gu +7

Automatic speech recognition (ASR) of overlapped speech remains a highly challenging task to date. To this end, multi-channel microphone array data are widely used in state-of-the-…

eess.AS2020★ 3 cited

Neural Spatio-Temporal Beamformer for Target Speech Separation

Yong Xu, Meng Yu, Shi-Xiong Zhang +4

Purely neural network (NN) based speech separation and enhancement methods, although can achieve good objective scores, inevitably cause nonlinear speech distortions that are harmf…

cs.CL2020★ 6 cited

Dialogue-Based Relation Extraction

Dian Yu, Kai Sun, Claire Cardie +1

We present the first human-annotated dialogue-based relation extraction (RE) dataset DialogRE, aiming to support the prediction of relation(s) between two arguments that appear in…