orkgnlp.annotation.tdm.extractor.TdmExtractor

class TdmExtractor(*args, **kwargs)[source]

Bases: ORKGNLPBaseService

The TdmExtractor requires a transformers.XLNetForSequenceClassification pretrained model and a TDM gold labels file. The required files are downloaded while initiation, if it has not happened before.

You can pass the parameter force_download=True to remove and re-download the previous downloaded service files.

Parameters:

  • service – Service name.

  • force_download – Indicates whether the required files are to be downloaded again. Defaults to False.

  • batch_size – Size of the batches used during model prediction. This argument is used by services that applies batch evaluation. Defaults to 16.

Methods

release_memory

Releases the memory of all available executors.

Attributes

SERVICE_NAME

__call__(text, top_n=5)[source]

Extracts Task-Dataset-Metric (TDM) entities from a given DocTAET (Title, Abstract, ExperimentalSetup, TableInfo) text

Parameters:

  • text (str) – DocTAET represented text.

  • top_n (int) – Top n results to be extracted. Defaults to 5.

Return type:

Any

Returns:

A list of TDMs.

release_memory()

Releases the memory of all available executors.