Tushar Khot

CoRR, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.

[BibT_eX]

[DOI]

CoRR, 2020

Natural Perturbation for Robust Question Answering.

[BibT_eX]

[DOI]

Daniel Khashabi

CoRR, 2020

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.

[BibT_eX]

[DOI]

Sumithra Bhakthavatsalam

Dirk Groeneveld

Michal Guerquin

Michael Schmitz

AI Mag., 2020

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning.

[BibT_eX]

[DOI]

Harsh Trivedi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

UNQOVERing Stereotypical Biases via Underspecified Questions.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

More Bang for Your Buck: Natural Perturbation for Robust Question Answering.

[BibT_eX]

[DOI]

Daniel Khashabi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Simple Yet Strong Pipeline for HotpotQA.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

QASC: A Dataset for Question Answering via Sentence Composition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

On the Capabilities and Limitations of Reasoning for Natural Language Understanding.

[BibT_eX]

[DOI]

CoRR, 2019

Repurposing Entailment for Multi-Hop Question Answering Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering.

[BibT_eX]

[DOI]

Peter Clark

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploiting Explicit Paths for Multi-hop Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Exploiting Explicit Paths for Multi-hop Reading Comprehension.

[BibT_eX]

[DOI]

Souvik Kundu

CoRR, 2018

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

[BibT_eX]

[DOI]

CoRR, 2018

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Bridging Knowledge Gaps in Neural Entailment via Symbolic Models.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

SciTaiL: A Textual Entailment Dataset from Science Question Answering.

[BibT_eX]

[DOI]

Peter Clark

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Question Answering as Global Reasoning Over Semantic Abstractions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Markov logic networks for adverse drug event extraction from text.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Learning What is Essential in Questions.

[BibT_eX]

[DOI]

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Answering Complex Questions Using Open Information Extraction.

[BibT_eX]

[DOI]

Peter Clark

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Scaling Lifted Probabilistic Inference and Learning Via Graph Databases.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

Question Answering via Integer Programming over Semi-Structured Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases.

[BibT_eX]

[DOI]

Mach. Learn., 2015

Markov Logic Networks for Natural Language Question Answering.

[BibT_eX]

[DOI]

CoRR, 2015

Anomaly Detection in Text: The Value of Domain Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Exploring Markov Logic Networks for Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Extracting Adverse Drug Events from Text Using Human Advice.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2015

Learning Probabilistic Logic Models with Human Advice.

[BibT_eX]

[DOI]

Phillip Odom

Sriraam Natarajan

Proceedings of the 2015 AAAI Spring Symposia, 2015

Knowledge-Based Probabilistic Logic Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Boosted Statistical Relational Learners - From Benchmarks to Data-Driven Medicine

[BibT_eX]

[DOI]

Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-13644-8, 2014

Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain.

[BibT_eX]

[DOI]

Elizabeth M. Davenport

Kristian Kersting

Christopher T. Whitlow

Joseph A. Maldjian

Int. J. Mach. Learn. Cybern., 2014

Statistical Relational Learning for Handwriting Recognition.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Classification from One Class of Examples for Relational Domains.

[BibT_eX]

[DOI]

Sriraam Natarajan

Jude W. Shavlik

Proceedings of the Statistical Relational Artificial Intelligence, 2014

Relational One-Class Classification: A Non-Parametric Approach.

[BibT_eX]

[DOI]

Sriraam Natarajan

Jude W. Shavlik

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Bootstrapping Knowledge Base Acceleration.

[BibT_eX]

[DOI]

Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Accelerating Imitation Learning in Relational Domains via Transfer by Initialization.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013

Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2013

2012

Gradient-based boosting for statistical relational learning: The relational dependency network case.

[BibT_eX]

[DOI]

Mach. Learn., 2012

Accelarating Imitation Learning in Relational Domains via Transfer by Initialization.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Learning Relational Structure for Temporal Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain.

[BibT_eX]

[DOI]

Christopher T. Whitlow

Joseph A. Maldjian

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011

Learning Markov Logic Networks via Functional Gradient Boosting.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2010

2009

Some new directions in graph-based semi-supervised learning.

[BibT_eX]

[DOI]

Xiaojin Zhu

Andrew B. Goldberg