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https://github.com/raspberryice/gen-arg

Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'
https://github.com/raspberryice/gen-arg

event-extraction information-extraction

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Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'

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# Argument Extraction by Generation

Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'

## Dependencies
- pytorch=1.6
- transformers=3.1.0
- pytorch-lightning=1.0.6
- spacy=2.3.2

## Model Checkpoints
Checkpoints trained from this repo are shared for the WikiEvents dataset and the ACE dataset are available at: [s3://gen-arg-data/checkpoints/].

You can download all the contents from the S3 bucket using AWS cli: `aws s3 cp s3://gen-arg-data/checkpoints/ ./ --recursive`

### Model Predictions
The model predictions on WikiEvents is provided in `outputs/wikievents-pointer-pred`.
Running this file through the `scorer.py` function should give you the exact same numbers as Table 5.

## Datasets
- RAMS (Download at [https://nlp.jhu.edu/rams/])
- ACE05 (Access from LDC[https://catalog.ldc.upenn.edu/LDC2006T06] and preprocessing following OneIE[http://blender.cs.illinois.edu/software/oneie/])
- WikiEvents (Available here [s3://gen-arg-data/wikievents/])

You can download the data through the AWS cli or AWS console.
Alternatively, you can download individual files by
- `wget https://gen-arg-data.s3.us-east-2.amazonaws.com/wikievents/data/.jsonl` for split={train, dev,test}.
- `wget https://gen-arg-data.s3.us-east-2.amazonaws.com/wikievents/data/coref/.jsonlines` for split={train, dev, test}.

Additional processed test files for RAMS can be downloaded by
- `wget https://gen-arg-data.s3.us-east-2.amazonaws.com/RAMS/test_head_coref.jsonlines`
- `wget https://gen-arg-data.s3.us-east-2.amazonaws.com/RAMS/test_head.jsonlines`