.
Table 9. Model evaluation on cell filling task.
['Method', 'P @ 1', 'P @ 3', 'P @ 5', 'P @ 10']
Results. For candidate value finding, using all entities appearing in the same row with a given subject entity e achieves a recall of 62.51% with 165 candidates on average. After filtering with P(h′|h)>0, the recall drops slightly to 61.45% and the average number of candidates reduces to 86. For value ranking, we only consider those testing instances with the target object entity in the candidate set and evaluate them under Precision@K (or, P@K). (2) Even though our model directly ranks the candidate entities without explicitly using their source table information, it outperforms other methods. This indicates that our model already encodes the factual knowledge in tables into entity embeddings through pre-training.