Publications
Structured Set Matching Networks for One-Shot Part Labeling
Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi.
CVPR 2018.
PDF /
bib
@article{choi2018StructuredSM,
title={Structured Set Matching Networks for One-Shot Part Labeling},
author={Jonghyun Choi and Jayant Krishnamurthy and Aniruddha Kembhavi and Ali Farhadi},
journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2018},
pages={3627-3636}
}
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner.
EMNLP 2017.
PDF /
bib
@inproceedings{Krishnamurthy2017NeuralSP,
title={Neural Semantic Parsing with Type Constraints for Semi-Structured Tables},
author={Jayant Krishnamurthy and Pradeep Dasigi and Matt Gardner},
booktitle={EMNLP},
year={2017}
}
Learning a Neural Semantic Parser from User Feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke S. Zettlemoyer.
ACL 2017.
PDF /
bib
@inproceedings{Iyer2017LearningAN,
title={Learning a Neural Semantic Parser from User Feedback},
author={Srinivasan Iyer and Ioannis Konstas and Alvin Cheung and Jayant Krishnamurthy and Luke S. Zettlemoyer},
booktitle={ACL},
year={2017}
}
Semantic Parsing to Probabilistic Programs for Situated Question Answering
Jayant Krishnamurthy, Oyvind Tafjord and Aniruddha Kembhavi.
EMNLP 2016.
PDF /
Code, Data and Online Appendix /
bib
@inproceedings{krishnamurthy2016emnlp,
author = {Jayant Krishnamurthy and
Oyvind Tafjord and
Aniruddha Kembhavi},
editor = {Jian Su and
Xavier Carreras and
Kevin Duh},
title = {Semantic Parsing to Probabilistic Programs for Situated Question Answering},
booktitle = {Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, {EMNLP} 2016, Austin, Texas, USA, November 1-4,
2016},
pages = {160--170},
publisher = {The Association for Computational Linguistics},
year = {2016},
url = {http://aclweb.org/anthology/D/D16/D16-1016.pdf},
}
Probabilistic Models for Learning a Semantic Parser Lexicon
Jayant Krishnamurthy.
NAACL 2016.
PDF /
Data and Code /
bib
@inproceedings{krishnamurthy2016naacl,
author = {Jayant Krishnamurthy},
editor = {Kevin Knight and
Ani Nenkova and
Owen Rambow},
title = {Probabilistic Models for Learning a Semantic Parser Lexicon},
booktitle = {{NAACL} {HLT} 2016, The 2016 Conference of the North American Chapter
of the Association for Computational Linguistics: Human Language Technologies,
San Diego California, USA, June 12-17, 2016},
pages = {606--616},
publisher = {The Association for Computational Linguistics},
year = {2016},
url = {http://aclweb.org/anthology/N/N16/N16-1074.pdf},
}
Instructable Intelligent Personal Agent
Amos Azaria, Jayant Krishnamurthy and Tom M. Mitchell.
AAAI 2016.
PDF /
bib
@inproceedings{azaria2016aaai,
author = {Amos Azaria and
Jayant Krishnamurthy and
Tom M. Mitchell},
editor = {Dale Schuurmans and
Michael P. Wellman},
title = {Instructable Intelligent Personal Agent},
booktitle = {Proceedings of the Thirtieth {AAAI} Conference on Artificial Intelligence,
February 12-17, 2016, Phoenix, Arizona, {USA.}},
pages = {2681--2689},
publisher = {{AAAI} Press},
year = {2016},
url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12383},
}
Visually-Verifiable Textual Entailment: A Challenge Task for Combining Language and Vision
Jayant Krishnamurthy
Proceedings of the Fourth Workshop on Vision and Language, 2015.
PDF /
bib
@InProceedings{krishnamurthy:2015:VL,
author = {Krishnamurthy, Jayant},
title = {Visually-Verifiable Textual Entailment: A Challenge Task for Combining Language and Vision},
booktitle = {Proceedings of the Fourth Workshop on Vision and Language},
month = {September},
year = {2015},
address = {Lisbon, Portugal},
publisher = {Association for Computational Linguistics},
pages = {1--3},
url = {http://aclweb.org/anthology/W15-2801}
}
Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary
Jayant Krishnamurthy and Tom M. Mitchell.
Transactions of the Association for Computational Linguistics, 2015.
PDF /
Data and Online Appendix /
bib
@article{TACL548,
author = {Jayant Krishnamurthy and Tom M. Mitchell},
title = {Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary},
journal = {Transactions of the Association for Computational Linguistics},
volume = {3},
year = {2015},
issn = {2307-387X},
url = {https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/548},
pages = {257--270}
}
Learning to Understand Natural Language with Less Human Effort
Jayant Krishnamurthy.
PhD Thesis,
Computer Science Department, Carnegie Mellon University, 2015.
PDF /
bib
@article{krishnamurthy-thesis,
author = {Jayant Krishnamurthy},
title = {Learning to Understand Natural Language with Less Human Effort},
school = {Carnegie Mellon University},
year = 2015
}
Never-Ending Learning
Tom M. Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapa Nakashole, Emmanouil Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcom Greaves and Joel Welling.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), 2015.
PDF /
bib
@inproceedings{NELL-aaai15,
title = {Never-Ending Learning},
author = {T. Mitchell and W. Cohen and E. Hruschka and P. Talukdar and J. Betteridge and A. Carlson and B. Dalvi and M. Gardner and B. Kisiel and J. Krishnamurthy and N. Lao and K. Mazaitis and T. Mohamed and N. Nakashole and E. Platanios and A. Ritter and M. Samadi and B. Settles and R. Wang and D. Wijaya and A. Gupta and X. Chen and A. Saparov and M. Greaves and J. Welling},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15)},
year = {2015}
}
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
Matt Gardner, Partha Talukdar, Jayant Krishnamurthy and Tom M. Mitchell.
In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014.
PDF /
bib
@inproceedings{gardner2014incorporating,
author = {Gardner, Matt and Talukdar, Partha and Krishnamurthy, Jayant and Mitchell, Tom},
title = {Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases},
booktitle = {Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
year = {2014}
}
Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar
Jayant Krishnamurthy and Tom M. Mitchell.
In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014.
PDF
/ Data and Online Appendix
/ bib
@inproceedings{krishnamurthy2014joint,
author = {Krishnamurthy, Jayant and Mitchell, Tom M.},
title = {Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar},
booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL)},
year = {2014}
}
Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models.
Jayant Krishnamurthy and Tom M. Mitchell.
In Proceedings of the 2013 ACL Workshop on Continuous Vector Space Models and their Compositionality, 2013.
PDF
/ bib
@inproceedings{krishnamurthy2013vector,
author = {Krishnamurthy, Jayant and Mitchell, Tom M.},
title = {Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models},
booktitle = {Proceedings of the 2013 ACL Workshop on Continuous Vector Space Models and their Compositionality},
year = {2013}
}
Toward Interactive Grounded Language Acquisition.
Thomas Kollar, Jayant Krishnamurthy and Grant Strimel.
In Robotics: Science and Systems, 2013.
PDF
/ bib
Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World.
Jayant Krishnamurthy and Thomas Kollar.
Transactions of the Association for Computational Linguistics, 2013.
PDF
/ Data and Online Appendix
/ bib
@article{krishnamurthy2013jointly,
title={Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World},
author={Krishnamurthy, Jayant and Kollar, Thomas},
journal={Transactions of the Association for Computational Linguistics},
volume={1},
pages={193--206},
year={2013}
}
Weakly Supervised Training of Semantic Parsers.
Jayant Krishnamurthy and Tom M. Mitchell.
In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), 2012.
PDF
/ bib
@inproceedings{krishnamurthy2012weakly,
author = {Krishnamurthy, Jayant and Mitchell, Tom M.},
title = {Weakly Supervised Training of Semantic Parsers},
booktitle = {Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning},
year = {2012},
}
Learning to Parse and Ground Natural Language Commands to Robots.
Jayant Krishnamurthy and Thomas Kollar.
In Proceedings of the AAAI 2012 Workshop on Grounding Language for Physical Systems, 2012.
PDF
Which Noun Phrases Denote Which Concepts?
Jayant Krishnamurthy and Tom M. Mitchell.
In Proceedings of the 49th Annual Meeting of the Association for
Computational Linguistics (ACL), 2011.
PDF
/ bib
@inproceedings{krishnamurthy2011which,
author = {Krishnamurthy, Jayant and Mitchell, Tom M.},
title = {Which Noun Phrases Denote Which Concepts?},
booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1},
year = {2011},
}
CrossBridge: Finding
Analogies using Dimensionality Reduction.
Jayant Krishnamurthy and Henry Lieberman.
In Proceedings of the AAAI Fall Symposium on Common Sense Knowledge, November 2010.
PDF
Finding
Analogies in Semantic Networks using the Singular Value
Decomposition.
Jayant Krishnamurthy. Master's thesis, Massachusetts Institute of
Technology, 2009.
PDF
CrossBridge, the analogy algorithm from the
paper, is now included in Divisi.
An Interface for Targeted Collection
of Common Sense Knowledge using a Mixture Model.
Robert Speer, Jayant Krishnamurthy, Catherine Havasi, Dustin Smith,
Kenneth Arnold, and Henry Lieberman.
In Proceedings of Intelligent User Interfaces, 2009.
PDF
The MD6 Hash Function -- A Proposal to NIST for SHA-3.
Ronald L. Rivest, with Benjamin Agre, Daniel V. Bailey, Christopher Crutchfield, Yevgeniy Dodis, Kermin Elliott Fleming, Asif Khan, Jayant Krishnamurthy, Yuncheng Lin, Leo Reyzin, Emily Shen, Jim Sukha, Drew Sutherland, Eran Tromer, and Yiqun Lisa Yin.
Submitted to NIST on October 27, 2008.
PDF
The latest version of the MD6 report, along with
other related material and code is available from the
MD6 website.