def description2clauses_df(description_df):
# step1 : contraction expansion
description_df = contraction_expansion.expand_contractions_df(
description_df)
# step2 : coreference resolution
description_df = coreference_resolution.resolve_coreferences_df(
description_df)
# step3 : clause extraction
description_df = clause_extraction.get_clauses_df(description_df)
return description_df
def description2labeledclauses_df(description_df):
# step1 : contraction expansion
description_df = contraction_expansion.expand_contractions_df(
description_df)
# step2 : coreference resolution
description_df = coreference_resolution.resolve_coreferences_df(
description_df)
# step3 : clause extraction
description_df = clause_extraction.get_clauses_df(description_df)
# step4: label clauses
labeled_clauses = activity_recognition.contains_activity_df(description_df)
return labeled_clauses, description_df
def description2structured_df(description_df):
# step1 : contraction expansion
description_df = contraction_expansion.expand_contractions_df(
description_df)
print("Step 1/6 DONE: contraction expansion")
# step2 : coreference resolution
description_df = coreference_resolution.resolve_coreferences_df(
description_df)
print("Step 2/6 DONE: coreference resolution")
# step3 : clause extraction
description_df = clause_extraction.get_clauses_df(description_df)
print("Step 3/6 DONE: extracted clauses ")
# step4: label clauses
labeled_clauses = activity_recognition.contains_activity_df(description_df)
print("Step 4/6 DONE: labeled clauses ")
# step5: activity extraction
df_activities = activity_extraction.get_activity_df(labeled_clauses)
print("Step 5/6 DONE: extracted activities ")
# step6: get a structured_descriptions
str_descr = structured_description.get_structured_description_df(
description_df, df_activities)
print("Step 6/6 DONE: returned structured descriptions")
return str_descr