Papers by Marc P.Y. Desmulliez
A Scientific Information Extraction Dataset for Nature Inspired Engineering (2020.lrec-1)
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| Challenge: | Existing approaches to extract relevant biological information from scientific literature are difficult and require domain-specific knowledge. |
| Approach: | They describe a dataset of 1,500 manually-annotated sentences that express domain-independent relations between central concepts in a scientific biology text. |
| Outcome: | The proposed dataset allows for training and evaluation of Relation Extraction algorithms that aim for coarse-grained typing of scientific biological documents, enabling a high-level filter for engineers. |