UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications

Thorsten Keiper; Zhonghao Lyu; Sara Pooladzadeh; Yuan Xu; Jingyi Zhang; Anne Lauscher; Simone Paolo Ponzetto

doi:10.18653/v1/S18-1132

UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications

Thorsten Keiper, Zhonghao Lyu, Sara Pooladzadeh, Yuan Xu, Jingyi Zhang, Anne Lauscher, Simone Paolo Ponzetto

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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.

Anthology ID:: S18-1132
Volume:: Proceedings of the 12th International Workshop on Semantic Evaluation
Month:: June
Year:: 2018
Address:: New Orleans, Louisiana
Editors:: Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:: SemEval
SIG:: SIGLEX
Publisher:: Association for Computational Linguistics
Note:
Pages:: 826–830
Language:
URL:: https://aclanthology.org/S18-1132/
DOI:: 10.18653/v1/S18-1132
Bibkey:
Cite (ACL):: Thorsten Keiper, Zhonghao Lyu, Sara Pooladzadeh, Yuan Xu, Jingyi Zhang, Anne Lauscher, and Simone Paolo Ponzetto. 2018. UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 826–830, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):: UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications (Keiper et al., SemEval 2018)
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PDF:: https://aclanthology.org/S18-1132.pdf

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@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

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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)

UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications (Keiper et al., SemEval 2018)

ACL

Thorsten Keiper, Zhonghao Lyu, Sara Pooladzadeh, Yuan Xu, Jingyi Zhang, Anne Lauscher, and Simone Paolo Ponzetto. 2018. UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 826–830, New Orleans, Louisiana. Association for Computational Linguistics.