Test Data for the NLPContributionGraph Shared Task 11 at SemEval-2021
The repository is organized as follows:
README.md
[task-name-folder]/ # constituency_parsing, coreference_resolution, data-to-text_generation, dependency_parsing, etc.
├── [article-counter-folder]/ # ranges between 6 to 31 since we annotated varying numbers of articles per task
│ ├── [articlename].pdf # scholarly article pdf
│ ├── [articlename]-Grobid-out.txt # plaintext output from the [Grobid parser](https://github.com/kermitt2/grobid)
│ ├── [articlename]-Stanza-out.txt # plaintext preprocessed output from [Stanza](https://github.com/stanfordnlp/stanza)
│ ├── sentences.txt # annotated Contribution sentences in the file
│ ├── entities.txt # annotated entities in the Contribution sentences
│ └── info-units/ # the folder containing information units in JSON format
│ │ └── research-problem.json # `research problem` mandatory information unit in json format
│ │ └── model.json # `model` information unit in json format; in some articles it is called `approach`
│ │ └── ... # there are 12 information units in all and each article may be annotated by 3 or 6
│ └── triples/ # the folder containing information unit triples one per line
│ │ └── research-problem.txt # `research problem` triples (one research problem statement per line)
│ │ └── model.txt # `model` triples (one statement per line)
│ │ └── ... # there are 12 information units in all and each article may be annotated by 3 or 6
│ └── ... # there are between 7 to 32 articles annotated for each task, so this repeats for the remaining annotated articles
└── ... # there are 10 tasks selected overall, so this repeats 9 more times