Reproducing Neural Ensemble Classifier for Semantic Relation Extraction inScientific Papers

Kyeongmin Rim, Jingxuan Tu, Kelley Lynch, James Pustejovsky

Abstract
Within the natural language processing (NLP) community, shared tasks play an important role. They define a common goal and allowthe the comparison of different methods on the same data. SemEval-2018 Task 7 involves the identification and classification of relationsin abstracts from computational linguistics (CL) publications. In this paper we describe an attempt to reproduce the methods and resultsfrom the top performing system at for SemEval-2018 Task 7. We describe challenges we encountered in the process, report on the resultsof our system, and discuss the ways that our attempt at reproduction can inform best practices.
Anthology ID:
2020.lrec-1.684
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
5569–5578
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.684
DOI:
Bibkey:
Cite (ACL):
Kyeongmin Rim, Jingxuan Tu, Kelley Lynch, and James Pustejovsky. 2020. Reproducing Neural Ensemble Classifier for Semantic Relation Extraction inScientific Papers. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5569–5578, Marseille, France. European Language Resources Association.
Cite (Informal):
Reproducing Neural Ensemble Classifier for Semantic Relation Extraction inScientific Papers (Rim et al., LREC 2020)
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PDF:
https://preview.aclanthology.org/nschneid-patch-1/2020.lrec-1.684.pdf
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