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from typing import List, Sequence, Tuple, Optional, Dict, Union, Callable
import pandas as pd
import spacy
from spacy.language import Language
SPAN_ATTRS = ["text", "label_", "start", "end"]
def simple_table(doc: Union[spacy.tokens.Doc, Dict[str, str]],
spans_key: str = "sc",
attrs: List[str] = SPAN_ATTRS):
columns = attrs + ["Conf. score"]
data = [
[str(getattr(span, attr))
for attr in attrs] + [score] # [f'{score:.5f}']
for span, score in zip(doc.spans[spans_key], doc.spans[spans_key].attrs['scores'])
]
return data, columns
def const_table(doc: Union[spacy.tokens.Doc, Dict[str, str]],
spans_key: str = "sc",
attrs: List[str] = SPAN_ATTRS):
columns = attrs + ["Conf. score", 'span dep',
"POS", "POS sequence", "head"]
data = []
for span, score in zip(doc.spans[spans_key], doc.spans[spans_key].attrs['scores']):
span_info = []
span_info.extend([str(getattr(span, attr)) for attr in attrs])
span_info.append(score)
span_info.append(span.root.dep_)
span_info.append(span.root.tag_)
span_info.append("_".join([t.tag_ for t in span]))
span_info.append(span.root.head.norm_)
# span_info.append(span.root.head.dep_ == "ROOT")
data.append(span_info)
return data, columns
def ngrammar(seq: list, n=2):
result = []
n_item = len(seq)
for idx, item in enumerate(seq):
if idx + n <= n_item:
result.append(seq[idx: idx + n])
return result
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