Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision

26 August 2018

Papers citing "Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision"

28 / 28 papers shown

Title
Pareto Optimal Learning for Estimating Large Language Model Errors Theodore Zhao Mu-Hsin Wei J. S. Preston Hoifung Poon 94 7 0 28 Jun 2023
Parallel Neurosymbolic Integration with Concordia Jonathan Feldstein Modestas Jurcius Efthymia Tsamoura NAI 78 1 0 01 Jun 2023
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models Jonathan Feldstein Dominic Phillips Efthymia Tsamoura 76 2 0 09 Feb 2023
Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision Sam Preston Mu-Hsin Wei Rajesh Rao Robert Tinn Naoto Usuyama ... Paul D. Tittel Naveen Valluri Tristan Naumann Carlo Bifulco Hoifung Poon 57 6 0 20 Mar 2022
Transformers and the representation of biomedical background knowledge Oskar Wysocki Zili Zhou Paul O'Regan D. Ferreira Magdalena Wysocka Dónal Landers Idiap Research Institute MedIm 80 14 0 04 Feb 2022
Learning Logic Rules for Document-level Relation Extraction Dongyu Ru Changzhi Sun Jiangtao Feng Lin Qiu Hao Zhou Weinan Zhang Yong Yu Lei Li NAI 55 36 0 09 Nov 2021
Modular Self-Supervision for Document-Level Relation Extraction Sheng Zhang Cliff Wong Naoto Usuyama Sarthak Jain Tristan Naumann Hoifung Poon AI4TS 57 6 0 11 Sep 2021
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning Hoifung Poon Hai Wang Hunter Lang SSL 86 2 0 27 Jul 2021
End-to-End Weak Supervision Salva Rühling Cachay Benedikt Boecking A. Dubrawski NoLa 72 41 0 05 Jul 2021
Self-supervised self-supervision by combining deep learning and probabilistic logic Hunter Lang Hoifung Poon SSL 95 13 0 23 Dec 2020
Modeling Content and Context with Deep Relational Learning Maria Leonor Pacheco Dan Goldwasser NAI 102 34 0 20 Oct 2020
Semantic Relations and Deep Learning Vivi Nastase Stan Szpakowicz GNN 30 0 0 11 Sep 2020
Knowledge Efficient Deep Learning for Natural Language Processing Hai Wang 42 2 0 28 Aug 2020
GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction Xinya Du Alexander M. Rush Claire Cardie 72 12 0 21 Aug 2020
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing Yu Gu Robert Tinn Hao Cheng Michael R. Lucas Naoto Usuyama Xiaodong Liu Tristan Naumann Jianfeng Gao Hoifung Poon LM&MA AI4CE 165 1,788 0 31 Jul 2020
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output Matthew B. A. McDermott T. Hsu W. Weng Marzyeh Ghassemi U. Toronto 91 32 0 26 Jun 2020
Named Entity Recognition without Labelled Data: A Weak Supervision Approach Pierre Lison A. Hubin Jeremy Barnes Samia Touileb 87 114 0 30 Apr 2020
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection Ruize Wang Duyu Tang Nan Duan Wanjun Zhong Zhongyu Wei Xuanjing Huang Daxin Jiang Ming Zhou NAI 69 4 0 29 Apr 2020
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen Hsiang-Fu Yu Sujay Sanghavi Inderjit Dhillon 51 8 0 01 Apr 2020
Adversarial Analysis of Natural Language Inference Systems Tiffany Chien Jugal Kalita AAML 56 12 0 07 Dec 2019
Integrating Deep Learning with Logic Fusion for Information Extraction Wenya Wang Sinno Jialin Pan NAI 49 51 0 06 Dec 2019
Declarative Learning-Based Programming as an Interface to AI Systems Parisa Kordjamshidi Dan Roth Kristian Kersting 74 4 0 18 Jun 2019
Augmenting Neural Networks with First-order Logic Tao Li Vivek Srikumar 66 109 0 14 Jun 2019
Learning to Denoise Distantly-Labeled Data for Entity Typing Yasumasa Onoe Greg Durrett 80 58 0 04 May 2019
Document-Level $N$ -ary Relation Extraction with Multiscale Representation Learning Robin Jia Cliff Wong Hoifung Poon NAI 65 145 0 04 Apr 2019
Evidence Sentence Extraction for Machine Reading Comprehension Hai Wang Dian Yu Kai Sun Jianshu Chen Dong Yu David A. McAllester Dan Roth 72 56 0 23 Feb 2019
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks Pedram Rooshenas Dongxu Zhang Gopal Sharma Andrew McCallum 134 10 0 22 Dec 2018
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing Edoardo Ponti Helen O'Horan Yevgeni Berzak Ivan Vulić Roi Reichart Thierry Poibeau Ekaterina Shutova Anna Korhonen 102 140 0 02 Jul 2018