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incident_info_utils.py
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from collections import defaultdict, Counter
import glob
import json
import collections
import pprint
def compile_terms(info_d):
terms_d = {}
for wiki_id, info in info_d["frames/links"].items():
for term, d in info.items():
terms_d[term] = d
for term, d in info_d["subevents"].items():
terms_d[term] = d
for term, d in info_d["fe's without links"].items():
terms_d[term] = d
return terms_d
def misclassified_incident(json_dict, incident, target, verbose):
"""check if the target is also linked to the incident"""
if incident in json_dict.keys():
for term, info in json_dict[incident].items():
if term == target:
return True
return False
def correct_spelling(compound):
if compound.startswith("hoofdverdach"):
new_lemma = "hoofdverdachte"
elif compound.startswith("mh17-verdach"):
new_lemma = "mh17-verdachte"
elif compound.startswith("zwaargewond"):
new_lemma = "zwaargewonde"
else:
new_lemma = compound
return new_lemma
def construction_type(pos, lemma, info):
"""determine the construction type:
clause, nominalization, regular noun, compound or named event"""
if (info["article"]["lemma"] == "het" or info["article"]["lemma"] == "the") \
and (lemma.endswith("en") or lemma.endswith("ing")):
typ = "nominalization"
elif pos == "PROPN":
typ = "named event"
elif "compound" in info.keys():
typ = "compound"
elif pos == "VERB":
typ = "clause"
elif pos == "NOUN": #\
#and (info["article"]["lemma"] == "het" or info["article"]["lemma"] == "the") :
typ = "regular noun"
else:
typ = "other"
return typ
def info_incident(condition, time_buckets, incident, output_folder, language, verbose=0):
"""extract information about participant per time bucket"""
incident_info = {}
for time_bucket in time_buckets.keys():
incident_info[time_bucket] = defaultdict(list)
if language == None:
for folder in glob.glob(f"{output_folder}/corpus/*"):
for filename in glob.glob(f"{folder}/*"):
with open(filename, 'r') as infile:
json_dict = json.load(infile) #open doc
title = "".join([key for key, value in json_dict.items()]) #get title
# print(title)
historical_distance = json_dict[title]["historical distance"] #get historical distance
for bucket, rang in time_buckets.items():
if historical_distance in rang: #in which time bucket does this doc belong?
incident_info[bucket]["titles"].append(title)
if condition == "all":
terms_d = compile_terms(json_dict[title])
for target, info in terms_d.items():
if "frame" in info.keys() and "lemma" in info.keys():
if (info["lemma"] == "mh17" or info["lemma"] == "MH17") or (info["frame"] == "mh17" or info["frame"] == "MH17"):
frame = "MH17"
pos = "PROPN"
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif (info["lemma"] == "Eurovision" or info["lemma"] == "ESC") or (info["frame"] == "Eurovision" or info["frame"] == "ESC"):
frame = "Eurovision"
pos = "PROPN"
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif info["frame"] != None:
frame = info["frame"][0]
sentence = info["sentence"]
pos = info["POS"]
lemma = info["lemma"]
lu = f"{lemma}.{pos}".lower()
if "compound" in info.keys():
lemma = info["compound"]
corrected_lemma = correct_spelling(lemma)
lu = f"{corrected_lemma}.noun".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
else:
continue
elif condition == "anchor":
if incident in json_dict[title]["frames/links"].keys():
for target, info in json_dict[title]["frames/links"][incident].items():
if "frame" in info.keys() and "lemma" in info.keys():
if (info["lemma"] == "mh17" or info["lemma"] == "MH17") or (info["frame"] == "mh17" or info["frame"] == "MH17"):
frame = "MH17"
pos = info["POS"]
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif (info["lemma"] == "Eurovision" or info["lemma"] == "ESC") or (info["frame"] == "Eurovision" or info["frame"] == "ESC"):
frame = "Eurovision"
pos = "PROPN"
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif info["frame"] != None:
frame = info["frame"][0]
sentence = info["sentence"]
pos = info["POS"]
lemma = info["lemma"]
lu = f"{lemma}.{pos}".lower()
if "compound" in info.keys():
lemma = info["compound"]
corrected_lemma = correct_spelling(lemma)
lu = f"{corrected_lemma}.noun".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
else:
continue
else:
if "subevents" in json_dict[title].keys():
for target, info in json_dict[title]["subevents"].items():
if "frame" in info.keys() and "lemma" in info.keys():
if (info["lemma"] == "mh17" or info["lemma"] == "MH17") or (info["frame"] == "mh17" or info["frame"] == "MH17"):
frame = "MH17"
pos = info["POS"]
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif (info["lemma"] == "Eurovision" or info["lemma"] == "ESC") or (info["frame"] == "Eurovision" or info["frame"] == "ESC"):
frame = "Eurovision"
pos = "PROPN"
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif info["frame"] != None:
frame = info["frame"][0]
sentence = info["sentence"]
pos = info["POS"]
lemma = info["lemma"]
lu = f"{lemma}.{pos}".lower()
if "compound" in info.keys():
lemma = info["compound"]
corrected_lemma = correct_spelling(lemma)
lu = f"{corrected_lemma}.noun".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
else:
continue
else:
for filename in glob.glob(f"{output_folder}/corpus/{language}/*"):
with open(filename, 'r') as infile:
json_dict = json.load(infile)
title = "".join([key for key, value in json_dict.items()]) #get title
# print(title)
historical_distance = json_dict[title]["historical distance"] #get historical distance
for bucket, rang in time_buckets.items():
if historical_distance in rang: #in which time bucket does this doc belong?
incident_info[bucket]["titles"].append(title)
if condition == "all":
terms_d = compile_terms(json_dict[title])
for target, info in terms_d.items():
if "frame" in info.keys() and "lemma" in info.keys():
if (info["lemma"] == "mh17" or info["lemma"] == "MH17") or (info["frame"] == "mh17" or info["frame"] == "MH17"):
frame = "MH17"
pos = info["POS"]
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif (info["lemma"] == "Eurovision" or info["lemma"] == "ESC") or (info["frame"] == "Eurovision" or info["frame"] == "ESC"):
frame = "Eurovision"
pos = "PROPN"
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif info["frame"] != None:
frame = info["frame"][0]
sentence = info["sentence"]
pos = info["POS"]
lemma = info["lemma"]
lu = f"{lemma}.{pos}".lower()
if "compound" in info.keys():
lemma = info["compound"]
corrected_lemma = correct_spelling(lemma)
lu = f"{corrected_lemma}.noun".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
else:
continue
elif condition == "anchor":
if incident in json_dict[title]["frames/links"].keys():
for target, info in json_dict[title]["frames/links"][incident].items():
if "frame" in info.keys() and "lemma" in info.keys():
if (info["lemma"] == "mh17" or info["lemma"] == "MH17") or (info["frame"] == "mh17" or info["frame"] == "MH17"):
frame = "MH17"
pos = info["POS"]
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif (info["lemma"] == "Eurovision" or info["lemma"] == "ESC") or (info["frame"] == "Eurovision" or info["frame"] == "ESC"):
frame = "Eurovision"
pos = "PROPN"
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif info["frame"] != None:
frame = info["frame"][0]
sentence = info["sentence"]
pos = info["POS"]
lemma = info["lemma"]
lu = f"{lemma}.{pos}".lower()
if "compound" in info.keys():
lemma = info["compound"]
corrected_lemma = correct_spelling(lemma)
lu = f"{corrected_lemma}.noun".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
else:
continue
else:
if "subevents" in json_dict[title].keys():
for target, info in json_dict[title]["subevents"].items():
if "frame" in info.keys() and "lemma" in info.keys():
if (info["lemma"] == "mh17" or info["lemma"] == "MH17") or (info["frame"] == "mh17" or info["frame"] == "MH17"):
frame = "MH17"
pos = info["POS"]
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif (info["lemma"] == "Eurovision" or info["lemma"] == "ESC") or (info["frame"] == "Eurovision" or info["frame"] == "ESC"):
frame = "Eurovision"
pos = "PROPN"
lemma = info["lemma"]
sentence = info["sentence"]
lu = f"{lemma}.propn".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
elif info["frame"] != None:
frame = info["frame"][0]
sentence = info["sentence"]
pos = info["POS"]
lemma = info["lemma"]
lu = f"{lemma}.{pos}".lower()
if "compound" in info.keys():
lemma = info["compound"]
corrected_lemma = correct_spelling(lemma)
lu = f"{corrected_lemma}.noun".lower()
construction = construction_type(pos, lemma, info)
incident_info[bucket]["joint"].append((frame, lu, pos, sentence, construction))
incident_info[bucket]["frames"].append(frame)
incident_info[bucket]["POS"].append(pos)
incident_info[bucket]["lexical units"].append(lu)
else:
continue
return incident_info
def extract_info(incident_info):
"extract and print descriptive statistics"
for condition, buckets in incident_info.items():
frames = []
lus = []
for bucket, info in buckets.items():
for frame in info["frames"]:
frames.append(frame)
for lu in info["lexical units"]:
lus.append(lu)
print(condition)
print("frames:", len(frames))
print("LUs:", len(lus))
counter = Counter(frames)
most_common = counter.most_common(3)
for tupl in most_common:
frame = tupl[0]
freq = tupl[1]
perc = round((freq*100)/len(frames), 1)
print(frame, freq, f"({perc}%)")
print()
return
def extract_compounds(dpas, output_folder, identifiers_to_neglect, compounds_to_neglect, verbose):
"""extract all compounds from dutch corpus"""
compound_d = {}
dpa = []
ipa = []
for folder in glob.glob(f"{output_folder}/*"):
for filename in glob.glob(f"{folder}/corpus/nl/*"):
with open(filename, 'r') as infile:
json_dict = json.load(infile)
for title, keys in json_dict.items():
for participant, terms in keys["frames/links"].items():
if participant not in identifiers_to_neglect:
for term, info in terms.items():
if "compound" in info.keys():
if info["function"] == "head" and info["compound"] not in compounds_to_neglect:
lemma = info["compound"].lower()
compound = correct_spelling(lemma)
#print(compound)
if participant in dpas:
dpa.append(compound)
else:
ipa.append(compound)
compound_d["direct participants"] = dpa
compound_d["indirect participants"] = ipa
if verbose:
print(f"extracted {len(dpa)+len(ipa)} compounds")
return compound_d