2.2k citations · 3.2k across the 79 of their papers we have counts for
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BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection
Yong Deng, Chenxiao Dou, Liangyu Chen +4
PCL detection task is aimed at identifying and categorizing language that is patronizing or condescending towards vulnerable communities in the general media.Compared to other NLP…
To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning
Yunjie Ji, Liangyu Chen, Chenxiao Dou +2
Machine Reading Comprehension with Unanswerable Questions is a difficult NLP task, challenged by the questions which can not be answered from passages. It is observed that subtle l…
Audio Deep Fake Detection System with Neural Stitching for ADD 2022
Rui Yan, Cheng Wen, Shuran Zhou +3
This paper describes our best system and methodology for ADD 2022: The First Audio Deep Synthesis Detection Challenge\cite{Yi2022ADD}. The very same system was used for both two ro…
Time Domain Adversarial Voice Conversion for ADD 2022
Cheng Wen, Tingwei Guo, Xingjun Tan +5
In this paper, we describe our speech generation system for the first Audio Deep Synthesis Detection Challenge (ADD 2022). Firstly, we build an any-to-many voice conversion (VC) sy…
Audio-Visual Wake Word Spotting System For MISP Challenge 2021
Yanguang Xu, Jianwei Sun, Yang Han +7
This paper presents the details of our system designed for the Task 1 of Multimodal Information Based Speech Processing (MISP) Challenge 2021. The purpose of Task 1 is to leverage…