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FitzGerald et al. (2018)

Publication

Large-Scale QA-SRL Parsing

Repositories

https://github.com/nafitzgerald/nrl-qasrl

Available Models

  • QA-SRL Parser
    • Description: A QA-SRL parser
    • Name: fitzgerald2018-qasrl-parser
    • Usage: 
      from repro.models.fitzgerald2018 import QASRLParser
model = QASRLParser()
output = model.predict("The sentence to parse.")
      The output is a dictionary with the data output by the parser. See the original repository or our unit tests for an example.

Implementation Notes

Docker Information

  • Image name: danieldeutsch/fitzgerald2018
  • Build command: 
    repro setup fitzgerald2018
  • Requires network: Yes, AllenNLP still sends a request even when a dataset is already cached locally.

Testing

repro setup fitzgerald2018
pytest models/fitzgerald2018/tests

Status

  • Regression unit tests pass
    See here
  • Correctness unit tests pass
    See here. The output is slightly different than what is expected in the Readme from the original repo, but it looks close enough.
  • Model runs on full test dataset
    Not tested
  • Predictions approximately replicate results reported in the paper
    Not tested
  • Predictions exactly replicate results reported in the paper
    Not tested

Changelog