Bf3R at SemEval-2018 Task 7: Evaluating Two Relation Extraction Tools for Finding Semantic Relations in Biomedical Abstracts
2018-06-01SEMEVAL 2018Unverified0· sign in to hype
Mariana Neves, Daniel Butzke, Gilbert Sch{\"o}nfelder, Barbara Grune
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Automatic extraction of semantic relations from text can support finding relevant information from scientific publications. We describe our participation in Task 7 of SemEval-2018 for which we experimented with two relations extraction tools - jSRE and TEES - for the extraction and classification of six relation types. The results we obtained with TEES were significantly superior than those with jSRE (33.4\% vs. 30.09\% and 20.3\% vs. 16\%). Additionally, we utilized the model trained with TEES for extracting semantic relations from biomedical abstracts, for which we present a preliminary evaluation.