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)
no code implementations • 29 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.
no code implementations • 8 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.
1 code implementation • 5 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.
no code implementations • 26 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.
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.
1 code implementation • ACL 2019 • Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li
In this paper, we propose a new paradigm for the task of entity-relation extraction.
Ranked #1 on Relation Extraction on ACE 2005 (Sentence Encoder metric)
2 code implementations • NeurIPS 2018 • Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah Goodman, Stefano Ermon
In high dimensional settings, density estimation algorithms rely crucially on their inductive bias.
no code implementations • 8 Mar 2018 • Shuqing Bian, Zhenpeng Deng, Fei Li, Will Monroe, Peng Shi, Zijun Sun, Wei Wu, Sikuang Wang, William Yang Wang, Arianna Yuan, Tianwei Zhang, Jiwei Li
For the best setting, the proposed system is able to identify scam ICO projects with 0. 83 precision.