Matt Gardner

CoRR, 2020

Multi-Step Inference for Reasoning Over Paragraphs.

[BibT_eX]

[DOI]

Jiangming Liu

CoRR, 2020

Evaluating NLP Models via Contrast Sets.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Module Networks for Reasoning over Text.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning from Task Descriptions.

[BibT_eX]

[DOI]

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

Interpreting Predictions of NLP Models.

[BibT_eX]

[DOI]

Eric Wallace

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

MedICaT: A Dataset of Medical Images, Captions, and Textual References.

[BibT_eX]

[DOI]

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

Improving Compositional Generalization in Semantic Parsing.

[BibT_eX]

[DOI]

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

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions.

[BibT_eX]

[DOI]

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

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ.

[BibT_eX]

[DOI]

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

Multi-Step Inference for Reasoning Over Paragraphs.

[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

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics.

[BibT_eX]

[DOI]

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

Evaluating Models' Local Decision Boundaries via Contrast Sets.

[BibT_eX]

[DOI]

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

Obtaining Faithful Interpretations from Compositional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

On Importance Sampling-Based Evaluation of Latent Language Models.

[BibT_eX]

[DOI]

Robert L. Logan IV

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dynamic Sampling Strategies for Multi-Task Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Benefits of Intermediate Annotations in Reading Comprehension.

[BibT_eX]

[DOI]

Dheeru Dua

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension.

[BibT_eX]

[DOI]

CoRR, 2019

Question Answering is a Format; When is it Useful?

[BibT_eX]

[DOI]

CoRR, 2019

Universal Adversarial Triggers for NLP.

[BibT_eX]

[DOI]

CoRR, 2019

Grammar-based Neural Text-to-SQL Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Analyzing Compositionality in Visual Question Answering.

[BibT_eX]

[DOI]

Sanjay Subramanian

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Linguistic Knowledge and Transferability of Contextual Representations.

[BibT_eX]

[DOI]

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

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

[BibT_eX]

[DOI]

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

Iterative Search for Weakly Supervised Semantic Parsing.

[BibT_eX]

[DOI]

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

Do NLP Models Know Numbers? Probing Numeracy in Embeddings.

[BibT_eX]

[DOI]

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

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models.

[BibT_eX]

[DOI]

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

Universal Adversarial Triggers for Attacking and Analyzing NLP.

[BibT_eX]

[DOI]

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

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions.

[BibT_eX]

[DOI]

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

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning.

[BibT_eX]

[DOI]

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

Global Reasoning over Database Structures for Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Ben Bogin

Jonathan Berant

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

Compositional Questions Do Not Necessitate Multi-hop Reasoning.

[BibT_eX]

[DOI]

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

Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling.

[BibT_eX]

[DOI]

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

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Ben Bogin

Jonathan Berant

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

Reasoning Over Paragraph Effects in Situations.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

On Making Reading Comprehension More Comprehensive.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Comprehensive Multi-Dataset Evaluation of Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Evaluating Question Answering Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

AllenNLP: A Deep Semantic Natural Language Processing Platform.

[BibT_eX]

[DOI]

CoRR, 2018

Never-ending learning.

[BibT_eX]

[DOI]

Commun. ACM, 2018

Deep Contextualized Word Representations.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Structured Alignment Networks for Matching Sentences.

[BibT_eX]

[DOI]

Yang Liu

Mirella Lapata

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

Neural Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts, 2018

Simple and Effective Multi-Paragraph Reading Comprehension.

[BibT_eX]

[DOI]

Christopher Clark

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

2017

Neural Semantic Parsing with Type Constraints for Semi-Structured Tables.

[BibT_eX]

[DOI]

Jayant Krishnamurthy

Pradeep Dasigi

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Crowdsourcing Multiple Choice Science Questions.

[BibT_eX]

[DOI]

Johannes Welbl

Nelson F. Liu

Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge.

[BibT_eX]

[DOI]

Jayant Krishnamurthy

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

CMUML System for KBP 2015 Cold Start Slot Filling.

[BibT_eX]

[DOI]

Emmanouil A. Platanios

Proceedings of the 2015 Text Analysis Conference, 2015

Translation Invariant Word Embeddings.

[BibT_eX]

[DOI]

Kejun Huang

Evangelos E. Papalexakis

Christos Faloutsos

Nikos D. Sidiropoulos

Xiao Fu

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

Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction.

[BibT_eX]

[DOI]

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

Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text.

[BibT_eX]

[DOI]

Partha P. Talukdar

Tom Michael Mitchell

Proceedings of the 2015 AAAI Spring Symposia, 2015

Never-Ending Learning.

[BibT_eX]

[DOI]

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

2014

Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases.

[BibT_eX]

[DOI]

Jayant Krishnamurthy

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

CMUML System for KBP 2013 Slot Filling.

[BibT_eX]

[DOI]

Derry Wijaya

Proceedings of the Sixth Text Analysis Conference, 2013

Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues.

[BibT_eX]

[DOI]

Bryan Kisiel

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

A speculative approach to parallelization in particle swarm optimization.

[BibT_eX]

[DOI]

Andrew W. McNabb

Kevin D. Seppi

Swarm Intell., 2012

Adding Distributional Semantics to Knowledge Base Entities through Web-scale Entity Linking.

[BibT_eX]

[DOI]

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

2010

Speculative Evaluation in Particle Swarm Optimization.

[BibT_eX]

[DOI]

Andrew W. McNabb

Kevin D. Seppi

Proceedings of the Parallel Problem Solving from Nature, 2010

2009

An exploration of topologies and communication in large particle swarms.

[BibT_eX]

[DOI]

Andrew W. McNabb