Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions
J. D'Souza, I. Mulang', and S. Auer. Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13), Association for Computational Linguistics, (2019)
DOI: 10.18653/v1/d19-5312
%0 Conference Paper
%1 D_Souza_2019
%A D'Souza, Jennifer
%A Mulang', Isaiah Onando
%A Auer, Sören
%B Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)
%D 2019
%I Association for Computational Linguistics
%K
%R 10.18653/v1/d19-5312
%T Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions
%U https://doi.org/10.18653%2Fv1%2Fd19-5312
@inproceedings{D_Souza_2019,
added-at = {2020-01-23T15:12:23.000+0100},
author = {D'Souza, Jennifer and Mulang', Isaiah Onando and Auer, Sören},
biburl = {https://www.bibsonomy.org/bibtex/2350d5fcd0add1f0cca632c63ae13227c/ch},
booktitle = {Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing ({TextGraphs}-13)},
doi = {10.18653/v1/d19-5312},
interhash = {a76a8a31bf293c81cef35cfa4eead11d},
intrahash = {350d5fcd0add1f0cca632c63ae13227c},
keywords = {},
publisher = {Association for Computational Linguistics},
timestamp = {2020-01-23T15:12:23.000+0100},
title = {Team {SVMrank}: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions},
url = {https://doi.org/10.18653%2Fv1%2Fd19-5312},
year = 2019
}