Published in Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II 21, 2010

Learning markov logic networks via functional gradient boosting

Published in 2011 IEEE 11th international conference on data mining, 2011

A machine learning pipeline for three-way classification of Alzheimer patients from structural magnetic resonance images of the brain

Published in 2012 11th International Conference on Machine Learning and Applications, 2012

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

Published in Machine Learning, 2012

Learning Relational Structure for Temporal Relation Extraction.

Published in StarAI@ UAI, 2012

Structure learning with hidden data in relational domains

Published in Proceedings of ICML Workshop on Statistical Relational Learning, 2012

Bootstrapping Knowledge Base Acceleration.

Published in TREC, 2013

Learning relational probabilistic models from partially observed data-opening the closed-world assumption

Published in Proceedings of the 23rd International Conference on Inductive Logic Programming (ILP-13), 2013

Using commonsense knowledge to automatically create (noisy) training examples from text

Published in Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Accelerating imitation learning in relational domains via transfer by initialization

Published in Inductive Logic Programming: 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers 23, 2014

Classification from one class of examples for relational domains

Published in Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Learning from imbalanced data in relational domains: A soft margin approach

Published in 2014 IEEE International Conference on Data Mining, 2014

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

Published in International Journal of Machine Learning and Cybernetics, 2014

Relational one-class classification: A non-parametric approach

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2014

Anomaly detection in text: The value of domain knowledge

Published in The Twenty-Eighth International Flairs Conference, 2015

Effectively creating weakly labeled training examples via approximate domain knowledge

Published in Inductive Logic Programming: 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers, 2015

Exploring Markov Logic Networks for Question Answering

Published in Empirical Methods in Natural Language Processing, 2015

Extracting adverse drug events from text using human advice

Published in Artificial Intelligence in Medicine: 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings 15, 2015

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

Published in Machine Learning, 2015

Graph-based approximate counting for relational probabilistic models

Published in Working Notes of the 5th International Workshop on Statistical Relational AI (StarAI@ UAI), 2015

Knowledge-based probabilistic logic learning

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2015

Learning probabilistic logic models with human advice

Published in 2015 AAAI Spring Symposium Series, 2015

Statistical relational learning for handwriting recognition

Published in Inductive Logic Programming: 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers, 2015

Combining retrieval, statistics, and inference to answer elementary science questions

Published in Proceedings of the AAAI conference on artificial intelligence, 2016

Inductive logic programming meets relational databases: An application to statistical relational learning

Published in Inductive Logic Programming (ILP), 2016

Learning continuous-time Bayesian networks in relational domains: A non-parametric approach

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2016

Learning with privileged information: Decision-trees and boosting

Published in Proc. Int. Joint Conf. Artif. Intell. Workshop, 2016

Question answering via integer programming over semi-structured knowledge

Published in IJCAI, 2016

Scaling lifted probabilistic inference and learning via graph databases

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

Answering Complex Questions Using Open Information Extraction

Published in ACL, 2017

Inductive logic programming meets relational databases: Efficient learning of Markov logic networks

Published in Inductive Logic Programming: 26th International Conference, ILP 2016, London, UK, September 4-6, 2016, Revised Selected Papers 26, 2017

Learning what is essential in questions

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

Markov logic networks for adverse drug event extraction from text

Published in Knowledge and information systems, 2017

Adventure: Adversarial training for textual entailment with knowledge-guided examples

Published in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018

Bridging knowledge gaps in neural entailment via symbolic models

Published in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Can a suit of armor conduct electricity? a new dataset for open book question answering

Published in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Exploiting explicit paths for multi-hop reading comprehension

Published in arXiv preprint arXiv:1811.01127, 2018

Human-in-the-loop learning for probabilistic programming

Published in Proceedings of the Inaugural International Conference on Probabilistic Programming, 2018

Question answering as global reasoning over semantic abstractions

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2018

Relational restricted boltzmann machines: A probabilistic logic learning approach

Published in Inductive Logic Programming: 27th International Conference, ILP 2017, Orl'eans, France, September 4-6, 2017, Revised Selected Papers 27, 2018

Scitail: A textual entailment dataset from science question answering

Published in Proceedings of the AAAI conference on artificial intelligence, 2018

Think you have solved question answering? try ARC, the AI2 reasoning challenge

Published in arXiv preprint arXiv:1803.05457, 2018

Exploiting explicit paths for multi-hop reading comprehension

Published in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019

On the capabilities and limitations of reasoning for natural language understanding

Published in arXiv preprint arXiv:1901.02522, 2019

On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections

Published in arXiv preprint arXiv:1901.02522, 2019

Repurposing entailment for multi-hop question answering tasks

Published in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 2019

What's missing: A knowledge gap guided approach for multi-hop question answering

Published in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019

A simple yet strong pipeline for hotpotqa

Published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

From ‘F’to ‘A’on the NY regents science exams: An overview of the aristo project

Published in Ai Magazine, 2020

IIRC: A dataset of incomplete information reading comprehension questions

Published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

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

Published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

Measuring and reducing non-multifact reasoning in multi-hop question answering

Published in arXiv preprint arXiv:2005.00789, 2020

More bang for your buck: Natural perturbation for robust question answering

Published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

Qasc: A dataset for question answering via sentence composition

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2020

ReadOnce transformers: Reusable representations of text for transformers

Published in Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2020

Temporal reasoning on implicit events from distant supervision

Published in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2020

Text modular networks: Learning to decompose tasks in the language of existing models

Published in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2020

UNQOVERing Stereotyping Biases via Underspecified Questions

Published in Findings of EMNLP, 2020

Unifiedqa: Crossing format boundaries with a single qa system

Published in Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

Published in Transactions of the Association for Computational Linguistics, 2021

Ethical-advice taker: Do language models understand natural language interventions?

Published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021

GooAQ: Open question answering with diverse answer types

Published in Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Hey AI, Can You Solve Complex Tasks by Talking to Agents?

Published in arXiv preprint arXiv:2110.08542, 2021

Learning to solve complex tasks by talking to agents

Published in arXiv preprint arXiv:2110.08542, 2021

Prompt waywardness: The curious case of discretized interpretation of continuous prompts

Published in arXiv preprint arXiv:2112.08348, 2021

Structure learning for relational logistic regression: an ensemble approach

Published in Data Mining and Knowledge Discovery, 2021

Think you have solved direct-answer question answering? try arc-da, the direct-answer ai2 reasoning challenge

Published in arXiv preprint arXiv:2102.03315, 2021

Better retrieval may not lead to better question answering

Published in arXiv preprint arXiv:2205.03685, 2022

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Published in Transactions on Machine Learning Research, 2022

Complexity-based prompting for multi-step reasoning

Published in The Eleventh International Conference on Learning Representations, 2022

Decomposed prompting: A modular approach for solving complex tasks

Published in The Eleventh International Conference on Learning Representations, 2022

Hey AI, Can You Solve Complex Tasks by Talking to Agents?

Published in Findings of the Association for Computational Linguistics: ACL 2022, 2022

♫ MuSiQue: Multihop Questions via Single-hop Question Composition

Published in Transactions of the Association for Computational Linguistics, 2022

Prompt waywardness: The curious case of discretized interpretation of continuous prompts

Published in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022