Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results (2021.emnlp-main)
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| Challenge: | Existing approaches focus on high-level description of how research is carried out . instead, we focus on the subtleties of how experimental associations are presented . |
| Approach: | They propose a transformer-based approach to relational scientific information extraction that captures associations over experimental variables and their qualifications, subtypes, and evidence. |
| Outcome: | The proposed schema captures causal, comparative, predictive, statistical, and proportional associations over experimental variables along with qualifications, subtypes, and evidence. |
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