Unification-based Reconstruction of Explanations for Science Questions
Table 1: Results on test and dev set and comparison with state-of-the-art approaches.
['[BOLD] Model', '[BOLD] Approach', '[BOLD] MAP Test', '[BOLD] MAP Dev']
Ej in the corpus. The state-of-the-art approaches are grouped into four categories: BERT-based models, Feature-based models , Information Retrieval with re-ranking and One-step Information Retrieval. To this end, a detailed evaluation on the development set of the Worldtree corpus is carried out, analysing the performance in reconstructing explanations of different types and complexity. We compare the joint model (RS + US) with each individual sub-component (RS and US alone). In addition, a set of qualitative examples are analysed to provide additional insights on the complementary aspects captured by relevance and unification score.