Venkata Govindarajan
Masters Alumnus
Venkat is currently an Assistant Professor in Computer Science at Ithaca College. Before that, earned his PhD student in Linguistics from the University of Texas, Austin. While in the FACTS.lab, his research focused on the expression of generalizations in text.
Website
Projects
Papers
- White, Aaron Steven, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, et al. 2020. The Universal Decompositional Semantics Dataset and Decomp Toolkit. In Proceedings of the 12th Language Resources and Evaluation Conference, 5698–5707. Marseille, France: European Language Resources Association.
@inproceedings{white_universal_2020,
address = {Marseille, France},
title = {The {Universal} {Decompositional} {Semantics} {Dataset} and {Decomp} {Toolkit}},
isbn = {979-10-95546-34-4},
url = {https://www.aclweb.org/anthology/2020.lrec-1.699},
abstract = {We present the Universal Decompositional Semantics (UDS) dataset (v1.0), which is bundled with the Decomp toolkit (v0.1). UDS1.0 unifies five high-quality, decompositional semantics-aligned annotation sets within a single semantic graph specification—with graph structures defined by the predicative patterns produced by the PredPatt tool and real-valued node and edge attributes constructed using sophisticated normalization procedures. The Decomp toolkit provides a suite of Python 3 tools for querying UDS graphs using SPARQL. Both UDS1.0 and Decomp0.1 are publicly available at http://decomp.io.},
language = {English},
booktitle = {Proceedings of the 12th Language Resources and Evaluation Conference},
publisher = {European Language Resources Association},
author = {White, Aaron Steven and Stengel-Eskin, Elias and Vashishtha, Siddharth and Govindarajan, Venkata Subrahmanyan and Reisinger, Dee Ann and Vieira, Tim and Sakaguchi, Keisuke and Zhang, Sheng and Ferraro, Francis and Rudinger, Rachel and Rawlins, Kyle and Van Durme, Benjamin},
month = may,
year = {2020},
pages = {5698--5707}
}- Govindarajan, Venkata, Benjamin Van Durme & Aaron Steven White. 2019. Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements. Transactions of the Association for Computational Linguistics 7. 501–517.
@article{govindarajan_decomposing_2019,
title = {Decomposing {Generalization}: {Models} of {Generic}, {Habitual}, and {Episodic} {Statements}},
volume = {7},
url = {https://www.aclweb.org/anthology/Q19-1035},
doi = {10.1162/tacl_a_00285},
abstract = {We present a novel semantic framework for modeling linguistic expressions of generalization— generic, habitual, and episodic statements—as combinations of simple, real-valued referential properties of predicates and their arguments. We use this framework to construct a dataset covering the entirety of the Universal Dependencies English Web Treebank. We use this dataset to probe the efficacy of type-level and token-level information—including hand-engineered features and static (GloVe) and contextual (ELMo) word embeddings—for predicting expressions of generalization.},
journal = {Transactions of the Association for Computational Linguistics},
author = {Govindarajan, Venkata and Van Durme, Benjamin and White, Aaron Steven},
month = mar,
year = {2019},
pages = {501--517}
}