ClaiRE at SemEval-2018 Task 7-Extended Version
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arXiv preprint arXiv:1804.05825 (2018)This is the extended version for our work: ClaiRE at SemEval-2018 Task 7.

In this paper we describe our post-evaluation results for SemEval-2018 Task 7 on classification of semantic relations in scientific literature for clean (subtask 1.1) and noisy data (subtask 1.2). Due to space limitations we publish an extended version of Hettinger et al. (2018) including further technical details and changes made to the preprocessing step in the post-evaluation phase. Due to these changes Classification of Relations using Embeddings (ClaiRE) achieved an improved F1 score of 75.11% for the first subtask and 81.44% for the second.
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