Arun Tejasvi Chaganty

According to our database1, Arun Tejasvi Chaganty authored at least 25 papers between 2012 and 2018.

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Bibliography

2018
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts.
CoRR, 2018

The price of debiasing automatic metrics in natural language evaluation.
CoRR, 2018

Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The price of debiasing automatic metrics in natural language evalaution.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.
Proceedings of the 2017 Text Analysis Conference, 2017


Importance sampling for unbiased on-demand evaluation of knowledge base population.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Estimating Mixture Models via Mixtures of Polynomials.
CoRR, 2016

How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions.
CoRR, 2016

Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.
Proceedings of the 2016 Text Analysis Conference, 2016

How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
On-the-Job Learning with Bayesian Decision Theory.
CoRR, 2015

Tensor Factorization via Matrix Factorization.
CoRR, 2015

Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings.
CoRR, 2015

Bootstrapped Self Training for Knowledge Base Population.
Proceedings of the 2015 Text Analysis Conference, 2015

On-the-Job Learning with Bayesian Decision Theory.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Estimating Mixture Models via Mixtures of Polynomials.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Tensor Factorization via Matrix Factorization.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Estimating Latent-Variable Graphical Models using Moments and Likelihoods.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Spectral Experts for Estimating Mixtures of Linear Regressions.
CoRR, 2013

Stanford's 2013 KBP System.
Proceedings of the Sixth Text Analysis Conference, 2013

Spectral Experts for Estimating Mixtures of Linear Regressions.
Proceedings of the 30th International Conference on Machine Learning, 2013

Combining Relational Learning with SMT Solvers Using CEGAR.
Proceedings of the Computer Aided Verification - 25th International Conference, 2013

Efficiently Sampling Probabilistic Programs via Program Analysis.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Learning in a small world.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012


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