ADE Corpus

ADE Corpus (end-to-end relation extraction), rebuilt for MNEB from the original release with character-level offsets.

Source: ADE corpus v2 DRUG-AE.rel (https://github.com/trunghlt/AdverseDrugReaction)

config	split	records
default	test	4272

Labels

entities: drug, adverse effect

relations: adverse effect

Format

Each record has input (the text), output (gold annotations grouped by label) and schema (the label set with descriptions). Offsets are character offsets into input, half-open [start, end).

"output": {
  "entities":  {"<label>": [{"text", "start", "end"}]},
  "relations": {"<label>": [{"head": {"text", "start", "end"},
                             "tail": {"text", "start", "end"}}]},
  "events":    {"<label>": [{"trigger": {"text", "start", "end"},
                             "arguments": [{"role", "text", "start", "end"}]}]}
}

Each schema item has a description and a description_source: official when adapted from the dataset's paper or guideline, mneb when written for MNEB. Relation datasets also give setting (end_to_end or gold_entity) and negative_label; relation items give symmetric. Event items list the roles valid for that event type.

Within a record, identical annotations are kept once and outer whitespace is trimmed from spans; source annotations are otherwise kept as annotated.

Notes

• The corpus has no official split, so all 4,272 sentences are published as test.
• Text is the original sentence. Head = adverse effect, tail = drug.

Build

Built by scripts/datasets/ade.py in the MNEB repository.

Citation

Gurulingappa et al. (2012), Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports. J. Biomed. Inform.

License: not stated by the source; see the original release.