Ankur P. Parikh

According to our database1, Ankur P. Parikh authored at least 30 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2020
ToTTo: A Controlled Table-To-Text Generation Dataset.
CoRR, 2020

A Multilingual View of Unsupervised Machine Translation.
CoRR, 2020

Thieves on Sesame Street! Model Extraction of BERT-based APIs.
Proceedings of the 8th International Conference on Learning Representations, 2020

BLEURT: Learning Robust Metrics for Text Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Natural Questions: a Benchmark for Question Answering Research.
Trans. Assoc. Comput. Linguistics, 2019

Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation.
CoRR, 2019

Text Generation with Exemplar-based Adaptive Decoding.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Consistency by Agreement in Zero-Shot Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Improving Span-based Question Answering Systems with Coarsely Labeled Data.
CoRR, 2018

Hybrid Subspace Learning for High-Dimensional Data.
CoRR, 2018

Multi-Mention Learning for Reading Comprehension with Neural Cascades.
Proceedings of the 6th International Conference on Learning Representations, 2018

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016
Learning Recurrent Span Representations for Extractive Question Answering.
CoRR, 2016

A Decomposable Attention Model for Natural Language Inference.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Grounded Semantic Parsing for Complex Knowledge Extraction.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014
Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm.
PLoS Computational Biology, 2014

Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Language Modeling with Power Low Rank Ensembles.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Spectral Unsupervised Parsing with Additive Tree Metrics.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Hierarchical Tensor Decomposition of Latent Tree Graphical Models.
Proceedings of the 30th International Conference on Machine Learning, 2013

Infinite Mixed Membership Matrix Factorization.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Enabling dynamic network analysis through visualization in TVNViewer.
BMC Bioinform., 2012

A Spectral Algorithm for Latent Junction Trees.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011
Multiscale Community Blockmodel for Network Exploration.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages.
Bioinformatics [ISMB/ECCB], 2011

Kernel Embeddings of Latent Tree Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Spectral Algorithm for Latent Tree Graphical Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
On Sparse Nonparametric Conditional Covariance Selection.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


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