Claims › ext:8f15eba6b41d7054 › line of work
Its line of work
We find that (i) without fine-tuning, BERT contains relational knowledge competitive with traditional NLP methods that have some access to oracle knowledge, (ii) BERT also does remarkably well on open-domain question answering against a supervised baseline, and (iii) certain types of factual knowledge are learned much more readily than others by standard language model pretraining approaches.
There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.
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Every claim drawn, as a table
| Claim | Status | Checkable | Credence | Use | Stakes | Rests on |
|---|---|---|---|---|---|---|
| We find that (i) without fine-tuning, BERT contains relational knowledge competitive with traditional NLP methods that… | ○ unchecked | yes | 0.55 | 0 | 6.6 | — |
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Step by step
| Where | Status | Claim | Credence |
|---|---|---|---|
| this claim | unchecked | We find that (i) without fine-tuning, BERT contains relational knowledge competitive with traditional NLP methods that have some access to oracle knowledge, (i…human literature · ext:8f15eba6b41d7054 | 0.55 |
Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.