Search Results for author: Arianna Yuan

Found 9 papers, 4 papers with code

CorefQA: Coreference Resolution as Query-based Span Prediction

1 code implementation ACL 2020 Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li

In this paper, we present CorefQA, an accurate and extensible approach for the coreference resolution task.

Ranked #2 on Coreference Resolution on CoNLL 2012 (using extra training data)

coreference-resolution Data Augmentation +1

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

no code implementations29 May 2020 Xiaoya Li, Mingxin Zhou, Jiawei Wu, Arianna Yuan, Fei Wu, Jiwei Li

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.

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

no code implementations8 Feb 2020 Xiaoya Li, Yuxian Meng, Arianna Yuan, Fei Wu, Jiwei Li

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

Translation

Coreference Resolution as Query-based Span Prediction

1 code implementation5 Nov 2019 Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li

In this paper, we present an accurate and extensible approach for the coreference resolution task.

coreference-resolution Data Augmentation +1

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

no code implementations26 Sep 2019 Yuxian Meng, Xiangyuan Ren, Zijun Sun, Xiaoya Li, Arianna Yuan, Fei Wu, Jiwei Li

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 the largest dataset to date by orders of magnitude.

Machine Translation NMT +2

Is Word Segmentation Necessary for Deep Learning of Chinese Representations?

no code implementations ACL 2019 Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li

Based on these observations, we conduct comprehensive experiments to study why word-based models underperform char-based models in these deep learning-based NLP tasks.

Chinese Word Segmentation Language Modelling +6

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