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GLDQN: Explicitly Parameterized Quantile Reinforcement Learning for Waste Reduction


May 30, 2022
Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke

* 10 pages, 1 figure, 2 tables 

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Making Table Understanding Work in Practice


Sep 11, 2021
Madelon Hulsebos, Sneha Gathani, James Gale, Isil Dillig, Paul Groth, Çağatay Demiralp

* Submitted to CIDR'22 

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Relational Graph Convolutional Networks: A Closer Look


Jul 21, 2021
Thiviyan Thanapalasingam, Lucas van Berkel, Peter Bloem, Paul Groth


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GitTables: A Large-Scale Corpus of Relational Tables


Jun 14, 2021
Madelon Hulsebos, Çağatay Demiralp, Paul Groth


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Reinforcement Learning based Collective Entity Alignment with Adaptive Features


Jan 05, 2021
Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth

* Accepted by ACM TOIS 

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Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels


Dec 06, 2020
Ryan Brate, Paul Groth, Marieke van Erp

* Accepted to The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2020). Barcelona, Spain. December 2020./ 

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Effective Distributed Representations for Academic Expert Search


Oct 16, 2020
Mark Berger, Jakub Zavrel, Paul Groth

* To be published in the Scholarly Document Processing 2020 Workshop @ EMNLP 2020 proceedings 

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Inductive Entity Representations from Text via Link Prediction


Oct 07, 2020
Daniel Daza, Michael Cochez, Paul Groth


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End-to-End Learning for Answering Structured Queries Directly over Text


Nov 16, 2018
Paul Groth, Antony Scerri, Ron Daniel, Jr., Bradley P. Allen

* 18 pages, 6 figures 

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