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Part 1: Document Description
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Citation |
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Title: |
COREC – A neural multi-label COmmonsense RElation Classification system |
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Identification Number: |
doi:10.11588/data/E5EHBV |
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Distributor: |
heiDATA |
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Date of Distribution: |
2019-10-22 |
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Version: |
1 |
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Bibliographic Citation: |
Becker, Maria, 2019, "COREC – A neural multi-label COmmonsense RElation Classification system", https://doi.org/10.11588/data/E5EHBV, heiDATA, V1 |
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Citation |
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Title: |
COREC – A neural multi-label COmmonsense RElation Classification system |
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Identification Number: |
doi:10.11588/data/E5EHBV |
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Authoring Entity: |
Becker, Maria (Department of Computational Linguistics, Heidelberg University, Germany) |
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Date of Production: |
2019 |
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Distributor: |
heiDATA |
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Access Authority: |
Becker, Maria |
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Date of Deposit: |
2019-07-31 |
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Holdings Information: |
https://doi.org/10.11588/data/E5EHBV |
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Study Scope |
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Keywords: |
Arts and Humanities, Computer and Information Science, Semantic relation classification, ConceptNet |
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Topic Classification: |
Commonsense relation classification, evaluation |
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Abstract: |
<p>We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the specific properties of the CONCEPTNET resource such as relation ambiguity or argument heterogeneity, we investigate the impact of different relation representations and model variations. Our analysis reveals that the complexity of argument types and relation ambiguity are the most important challenges to address. We design a customized evaluation method to address the incompleteness of the resource that can be expanded in future work.</p> |
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Kind of Data: |
program source code, python scripts |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
<p>Becker, M., Staniek, M., Nastase, V., Frank, A. (2019): Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting. In <em>Proceedings of the RELATIONS – Workshop on meaning relations between phrases and sentences</em>, May 23, 2019, Gothenburg, Sweden.</p> |
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Identification Number: |
https://www.aclweb.org/anthology/W19-0801 |
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Bibliographic Citation: |
<p>Becker, M., Staniek, M., Nastase, V., Frank, A. (2019): Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting. In <em>Proceedings of the RELATIONS – Workshop on meaning relations between phrases and sentences</em>, May 23, 2019, Gothenburg, Sweden.</p> |
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Label: |
corec-master.zip |
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Notes: |
application/zip |