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Language Models as Knowledge Bases?

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Figure

Figure 1: Querying knowledge bases (KB) and lan-guage models (LM) for factual knowledge.
Table 1: Language models considered in this study.
Table 2: Mean precision at one (P@1) for a frequency baseline (Freq), DrQA, a relation extraction with na¨ıveentity linking (REn), oracle entity linking (REo), fairseq-fconv (Fs), Transformer-XL large (Txl), ELMo original(Eb), ELMo 5.5B (E5B), BERT-base (Bb) and BERT-large (Bl) across the set of evaluation corpora.
Figure 4: Average rank distribution for 10 differentmentions of 100 random facts per relation in T-REx.ELMo 5.5B and both variants of BERT are least sen-sitive to the framing of the query but also are the mostlikely to have seen the query sentence during training.
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