@inproceedings{keiper-etal-2018-unima,
title = "{U}ni{M}a at {S}em{E}val-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications",
author = "Keiper, Thorsten and
Lyu, Zhonghao and
Pooladzadeh, Sara and
Xu, Yuan and
Zhang, Jingyi and
Lauscher, Anne and
Ponzetto, Simone Paolo",
editor = "Apidianaki, Marianna and
Mohammad, Saif M. and
May, Jonathan and
Shutova, Ekaterina and
Bethard, Steven and
Carpuat, Marine",
booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S18-1132",
doi = "10.18653/v1/S18-1132",
pages = "826--830",
abstract = "Large repositories of scientific literature call for the development of robust methods to extract information from scholarly papers. This problem is addressed by the SemEval 2018 Task 7 on extracting and classifying relations found within scientific publications. In this paper, we present a feature-based and a deep learning-based approach to the task and discuss the results of the system runs that we submitted for evaluation.",
}
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%0 Conference Proceedings
%T UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications
%A Keiper, Thorsten
%A Lyu, Zhonghao
%A Pooladzadeh, Sara
%A Xu, Yuan
%A Zhang, Jingyi
%A Lauscher, Anne
%A Ponzetto, Simone Paolo
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F keiper-etal-2018-unima
%X Large repositories of scientific literature call for the development of robust methods to extract information from scholarly papers. This problem is addressed by the SemEval 2018 Task 7 on extracting and classifying relations found within scientific publications. In this paper, we present a feature-based and a deep learning-based approach to the task and discuss the results of the system runs that we submitted for evaluation.
%R 10.18653/v1/S18-1132
%U https://aclanthology.org/S18-1132
%U https://doi.org/10.18653/v1/S18-1132
%P 826-830
Markdown (Informal)
[UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications](https://aclanthology.org/S18-1132) (Keiper et al., SemEval 2018)
ACL