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.