from https://github.com/ArneBinder/pie-datasets/pull/159
Browse files
sciarg.py
CHANGED
|
@@ -7,13 +7,13 @@ from pie_modules.document.processing import (
|
|
| 7 |
SpansViaRelationMerger,
|
| 8 |
TextSpanTrimmer,
|
| 9 |
)
|
| 10 |
-
from
|
|
|
|
| 11 |
TextDocumentWithLabeledMultiSpansAndBinaryRelations,
|
| 12 |
TextDocumentWithLabeledMultiSpansBinaryRelationsAndLabeledPartitions,
|
| 13 |
TextDocumentWithLabeledSpansAndBinaryRelations,
|
| 14 |
TextDocumentWithLabeledSpansBinaryRelationsAndLabeledPartitions,
|
| 15 |
)
|
| 16 |
-
from pytorch_ie.core import Document
|
| 17 |
|
| 18 |
from pie_datasets.builders import BratBuilder, BratConfig
|
| 19 |
from pie_datasets.builders.brat import BratDocument, BratDocumentWithMergedSpans
|
|
@@ -123,7 +123,8 @@ class SciArg(BratBuilder):
|
|
| 123 |
def document_converters(self) -> DocumentConvertersType:
|
| 124 |
regex_partitioner = RegexPartitioner(
|
| 125 |
partition_layer_name="labeled_partitions",
|
| 126 |
-
|
|
|
|
| 127 |
label_group_id=1,
|
| 128 |
label_whitelist=["Title", "Abstract", "H1"],
|
| 129 |
skip_initial_partition=True,
|
|
|
|
| 7 |
SpansViaRelationMerger,
|
| 8 |
TextSpanTrimmer,
|
| 9 |
)
|
| 10 |
+
from pytorch_ie.core import Document
|
| 11 |
+
from pytorch_ie.documents import (
|
| 12 |
TextDocumentWithLabeledMultiSpansAndBinaryRelations,
|
| 13 |
TextDocumentWithLabeledMultiSpansBinaryRelationsAndLabeledPartitions,
|
| 14 |
TextDocumentWithLabeledSpansAndBinaryRelations,
|
| 15 |
TextDocumentWithLabeledSpansBinaryRelationsAndLabeledPartitions,
|
| 16 |
)
|
|
|
|
| 17 |
|
| 18 |
from pie_datasets.builders import BratBuilder, BratConfig
|
| 19 |
from pie_datasets.builders.brat import BratDocument, BratDocumentWithMergedSpans
|
|
|
|
| 123 |
def document_converters(self) -> DocumentConvertersType:
|
| 124 |
regex_partitioner = RegexPartitioner(
|
| 125 |
partition_layer_name="labeled_partitions",
|
| 126 |
+
# find matching tags, allow newlines in between (s flag) and capture the tag name
|
| 127 |
+
pattern="<([^>/]+)>(?s:.)*?</\\1>",
|
| 128 |
label_group_id=1,
|
| 129 |
label_whitelist=["Title", "Abstract", "H1"],
|
| 130 |
skip_initial_partition=True,
|