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Modular Self-Supervision for Document-Level Relation Extraction

Sep 11, 2021
Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon

* EMNLP 2021 

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Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning

Jul 27, 2021
Hoifung Poon, Hai Wang, Hunter Lang

* Book chapter. arXiv admin note: substantial text overlap with arXiv:2012.12474, arXiv:1808.08485, arXiv:2008.12878 

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Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature

Jun 25, 2021
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon

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Targeted Adversarial Training for Natural Language Understanding

Apr 12, 2021
Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi

* 9 pages, 4 tables, 3 figurers, NAACL 2021 

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Self-supervised self-supervision by combining deep learning and probabilistic logic

Dec 23, 2020
Hunter Lang, Hoifung Poon

* 12 pages, 2 figures 

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CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search

Nov 03, 2020
Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett

* 5 pages, 3 figures, 2 tables 

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Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Aug 20, 2020
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon

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Adversarial Training for Large Neural Language Models

Apr 29, 2020
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao

* 13 pages, 9 tables, 2 figures 

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The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding

Feb 19, 2020
Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao

* 9 pages, 3 figures and 3 tables 

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DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain

Jun 11, 2019
Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao

* Proceedings of the BioNLP 2019 workshop, ACL 2019; 7 pages, 5 tables, 1 figure 

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Document-Level $N$-ary Relation Extraction with Multiscale Representation Learning

Apr 04, 2019
Robin Jia, Cliff Wong, Hoifung Poon

* NAACL 2019 

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Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision

Aug 26, 2018
Hai Wang, Hoifung Poon

* EMNLP 2018 final version 

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EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation

Jul 02, 2018
Maxim Grechkin, Hoifung Poon, Bill Howe

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Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

Nov 10, 2017
Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro Domingos, Pascal Hitzler, Kai-Uwe Kuehnberger, Luis C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha

* 58 pages, work in progress 

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Distant Supervision for Relation Extraction beyond the Sentence Boundary

Aug 14, 2017
Chris Quirk, Hoifung Poon

* Presented at EACL 2017; 9 pages (12 pages including references) 

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Cross-Sentence N-ary Relation Extraction with Graph LSTMs

Aug 12, 2017
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih

* Transactions of the Association for Computational Linguistics (TACL) 2017, Vol 5 
* Conditional accepted by TACL in December 2016; published in April 2017; presented at ACL in August 2017 

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Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach

May 19, 2017
Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz

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Probabilistic Frame Induction

Feb 20, 2013
Jackie Chi Kit Cheung, Hoifung Poon, Lucy Vanderwende

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Sum-Product Networks: A New Deep Architecture

Feb 14, 2012
Hoifung Poon, Pedro Domingos

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