RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction
This is an incremental contribution to natural language processing for definition extraction in a specific competition setting.
The paper tackled the problem of extracting definitions at sentence and token levels for SemEval-2020 Task 6, achieving acceptable evaluation scores with a neural network system that included task-specific adaptations and an automatically extended training set.
This paper presents the RGCL team submission to SemEval 2020 Task 6: DeftEval, subtasks 1 and 2. The system classifies definitions at the sentence and token levels. It utilises state-of-the-art neural network architectures, which have some task-specific adaptations, including an automatically extended training set. Overall, the approach achieves acceptable evaluation scores, while maintaining flexibility in architecture selection.