activity
20182020
most citedAnalyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions

34 citations · 52 across the 3 of their papers we have counts for

collaborators

6 papers

cs.SI202034 cited

Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions

Xiaoya Li, Mingxin Zhou, Jiawei Wu +3

At the time of writing, the ongoing pandemic of coronavirus disease (COVID-19) has caused severe impacts on society, economy and people's daily lives. People constantly express the…

cs.CL202010 cited

LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention

Xiaoya Li, Yuxian Meng, Arianna Yuan +2

Non-autoregressive translation (NAT) models generate multiple tokens in one forward pass and is highly efficient at inference stage compared with autoregressive translation (AT) me…

cs.CL2019

Coreference Resolution as Query-based Span Prediction

Wei Wu, Fei Wang, Arianna Yuan +2

In this paper, we present an accurate and extensible approach for the coreference resolution task. We formulate the problem as a span prediction task, like in machine reading compr…

cs.CL20198 cited

Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs

Yuxian Meng, Xiangyuan Ren, Zijun Sun +4

In this paper, we investigate the problem of training neural machine translation (NMT) systems with a dataset of more than 40 billion bilingual sentence pairs, which is larger than…

cs.CL2019

Is Word Segmentation Necessary for Deep Learning of Chinese Representations?

Xiaoya Li, Yuxian Meng, Xiaofei Sun +3

Segmenting a chunk of text into words is usually the first step of processing Chinese text, but its necessity has rarely been explored. In this paper, we ask the fundamental questi…

cs.CL2018

IcoRating: A Deep-Learning System for Scam ICO Identification

Shuqing Bian, Zhenpeng Deng, Fei Li +9

Cryptocurrencies (or digital tokens, digital currencies, e.g., BTC, ETH, XRP, NEO) have been rapidly gaining ground in use, value, and understanding among the public, bringing asto…