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bio2ere.py
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import argparse
import os
import csv
import xml.etree.ElementTree as ET
# word, offset, nertag, relation, trigger, argument
def write_ann(bio_file, ann_file, ace_file):
csv_file = open(ace_file, 'w')
fields = ['token', 'offset', 'ner_offset', 'ner_type', 'ner_nam_nom', 'ner_cluster',
'filler_offset', 'filler_type',
'relations_belong_to',
'trigger_offset', 'trigger_type', 'trigger_cluster', 'trigger_arguments']
writer = csv.DictWriter(csv_file, fieldnames=fields)
writer.writeheader()
entity_mentions_mentionid2dict, filler_mentions_mentionid2dict, relation_mentions_id2dict, \
event_mentions_id2dict = parse_ann(ann_file)
with open(bio_file, 'r') as f:
for line in f:
line = line.strip()
if len(line) > 0:
parts = line.strip().split(' ')
token = parts[0]
offset = parts[1]
token_dict = {'token': token, 'offset': offset}
d_id, o = offset.split(':')
start, end = o.split('-')
start = int(start)
end = int(end)
entity_mention_ids = search_offset_id(start, end, entity_mentions_mentionid2dict, 'offset')
filler_mention_ids = search_offset_id(start, end, filler_mentions_mentionid2dict, 'offset')
relation_mention_ids = search_relation_id(start, end, relation_mentions_id2dict)
event_mention_ids = search_offset_id(start, end, event_mentions_id2dict, 'trigger_offset')
if len(entity_mention_ids) == 0:
token_dict['ner_offset'] = 'O'
token_dict['ner_type'] = 'O'
token_dict['ner_nam_nom'] = 'O'
token_dict['ner_cluster'] = 'O'
else:
ner_offsets = []
ner_types = []
ner_nam_noms = []
ner_clusters = []
for id in entity_mention_ids:
ner_offsets.append(entity_mentions_mentionid2dict[id]['offset'])
if str(start)+":"+str(end) == entity_mentions_mentionid2dict[id]['offset']:
assert token == entity_mentions_mentionid2dict[id]['text']
ner_types.append(entity_mentions_mentionid2dict[id]['type'] + ':' + \
entity_mentions_mentionid2dict[id]['subtype'])
ner_nam_noms.append(entity_mentions_mentionid2dict[id]['mention_type'])
ner_clusters.append(entity_mentions_mentionid2dict[id]['entity_id'])
token_dict['ner_offset'] = '#@#'.join(ner_offsets)
token_dict['ner_type'] = '#@#'.join(ner_types)
token_dict['ner_nam_nom'] = '#@#'.join(ner_nam_noms)
token_dict['ner_cluster'] = '#@#'.join(ner_clusters)
if len(filler_mention_ids) == 0:
token_dict['filler_offset'] = 'O'
token_dict['filler_type'] = 'O'
else:
filler_offsets = []
filler_types = []
for id in filler_mention_ids:
filler_offsets.append(filler_mentions_mentionid2dict[id]['offset'])
filler_types.append(filler_mentions_mentionid2dict[id]['type'])
token_dict['filler_offset'] = '#@#'.join(filler_offsets)
token_dict['filler_type'] = '#@#'.join(filler_types)
if len(relation_mention_ids) == 0:
token_dict['relations_belong_to'] = 'O'
else:
relation_mentions = []
for id in relation_mention_ids:
relation_mention_dict = relation_mentions_id2dict[id]
relation_id = relation_mention_dict['relation_id']
relation_type = relation_mention_dict['relation_type'] + ':' + \
relation_mention_dict['relation_subtype']
arg0 = relation_mention_dict['mention_argument0_offset']
arg1 = relation_mention_dict['mention_argument1_offset']
mention = relation_id + ':' + arg0 + ':' + relation_type + ':' + arg1
relation_mentions.append(mention)
mention_str = ' '.join(relation_mentions)
token_dict['relations_belong_to'] = mention_str
if len(event_mention_ids) == 0:
token_dict['trigger_offset'] = 'O'
token_dict['trigger_type'] = 'O'
token_dict['trigger_cluster'] = 'O'
token_dict['trigger_arguments'] = 'O'
else:
trigger_offsets = []
trigger_types = []
trigger_clusters = []
trigger_arguments_set = []
for id in event_mention_ids:
trigger_offsets.append(event_mentions_id2dict[id]['trigger_offset'])
if str(start)+":"+str(end) == event_mentions_id2dict[id]['trigger_offset']:
assert token == event_mentions_id2dict[id]['trigger_text']
trigger_types.append(event_mentions_id2dict[id]['type'] + ':' +
event_mentions_id2dict[id]['subtype'])
trigger_clusters.append(event_mentions_id2dict[id]['event_id'])
all_event_mention_arguments = event_mentions_id2dict[id]['argument']
arguments = []
for arg in all_event_mention_arguments:
arg_str = arg['mention_argument_refid'] + ':' + arg['mention_argument_role'] + ':' + \
arg['mention_argument_offset']
arguments.append(arg_str)
arguments_str = ' '.join(arguments)
trigger_arguments_set.append(arguments_str)
token_dict['trigger_offset'] = '#@#'.join(trigger_offsets)
token_dict['trigger_type'] = '#@#'.join(trigger_types)
token_dict['trigger_cluster'] = '#@#'.join(trigger_clusters)
token_dict['trigger_arguments'] = '#@#'.join(trigger_arguments_set)
writer.writerow(token_dict)
else:
token_dict = {'token':'----sentence_delimiter----'}
writer.writerow(token_dict)
csv_file.close()
# applicable to entity, timex2, event mentions
def search_offset_id(token_start, token_end, entity_mentions_mentionid2dict, offset_key):
searched_ids = []
for id in entity_mentions_mentionid2dict:
can_dict = entity_mentions_mentionid2dict[id]
mention_offset_parts = can_dict[offset_key].split(':')
can_start = int(mention_offset_parts[0])
can_end = int(mention_offset_parts[1])
if (can_start <= token_start <= can_end) or (can_start <= token_end <= can_end):
searched_ids.append(id)
return searched_ids
def search_relation_id(token_start, token_end, relation_mentions_id2dict):
searched_ids = []
for id in relation_mentions_id2dict:
can_dict = relation_mentions_id2dict[id]
argument0_offset_parts = can_dict['mention_argument0_offset'].split(':')
argument1_offset_parts = can_dict['mention_argument1_offset'].split(':')
arg0_start = int(argument0_offset_parts[0])
arg0_end = int(argument0_offset_parts[1])
arg1_start = int(argument1_offset_parts[0])
arg1_end = int(argument1_offset_parts[1])
if (arg0_start <= token_start <= arg0_end) or (arg0_start <= token_end <= arg0_end) or \
(arg1_start <= token_start <= arg1_end) or (arg1_start <= token_end <= arg1_end):
searched_ids.append(id)
return searched_ids
def parse_ann(ann_file):
tree = ET.parse(ann_file)
root = tree.getroot()
doc_elem = root[0] # entities, fillers, relations, hoppers
all_entity_elems = []
all_filler_elems = []
all_relation_elems = []
all_hopper_elems = []
if len(doc_elem.findall('entities')) > 0:
entities_elem = doc_elem.findall('entities')[0]
all_entity_elems = entities_elem.findall('entity')
if len(doc_elem.findall('fillers')) > 0:
fillers_elem = doc_elem.findall('fillers')[0]
all_filler_elems = fillers_elem.findall('filler')
if len(doc_elem.findall('relations')) > 0:
relations_elem = doc_elem.findall('relations')[0]
all_relation_elems = relations_elem.findall('relation')
if len(doc_elem.findall('hoppers')) > 0:
hoppers_elem = doc_elem.findall('hoppers')[0]
all_hopper_elems = hoppers_elem.findall('hopper')
# parse all entities and mentions
entity_mentions_offset2dict = {}
entity_mentions_mentionid2dict = {}
for entity_elem in all_entity_elems:
entity_attribs = entity_elem.attrib
entity_id = entity_attribs["id"] # CNN_CF_20030303.1900.00-E1
entity_type = entity_attribs["type"] # PER
entity_specificity = entity_attribs["specificity"] #
all_entity_mention_elems = entity_elem.findall("entity_mention")
for entity_mention_elem in all_entity_mention_elems:
entity_mention_attribs = entity_mention_elem.attrib
entity_mention_id = entity_mention_attribs["id"] # CNN_CF_20030303.1900.00-E1-2
entity_mention_noun_type = entity_mention_attribs["noun_type"] # NOM
entity_mention_start = entity_mention_attribs["offset"]
entity_mention_end = int(entity_mention_start) + int(entity_mention_attribs["length"]) - 1
entity_mention_text = entity_mention_elem.findall('mention_text')[0].text
mention_offset = entity_mention_start + ":" + str(entity_mention_end)
nom_head_elems = entity_mention_elem.findall("nom_head")
if len(nom_head_elems) > 0:
if len(nom_head_elems) > 1:
print("Error: multiple nom heads~")
nom_head_elem = nom_head_elems[0]
entity_mention_head_start = nom_head_elem.attrib["offset"]
entity_mention_head_end = int(entity_mention_head_start) + int(nom_head_elem.attrib["length"]) - 1
mention_offset = entity_mention_head_start + ":" + str(entity_mention_head_end)
entity_mention_text = nom_head_elem.text
mention_dict = {"type": entity_type, "specificity": entity_specificity, "entity_id": entity_id,
"mention_id": entity_mention_id, "mention_type": entity_mention_noun_type,
"text": entity_mention_text, "offset": mention_offset}
entity_mentions_offset2dict[mention_offset] = mention_dict
entity_mentions_mentionid2dict[entity_mention_id] = mention_dict
# parse all filler
filler_mentions_offset2dict = {}
filler_mentions_mentionid2dict = {}
for filler_elem in all_filler_elems:
filler_id = filler_elem.attrib["id"]
filler_start = filler_elem.attrib["offset"]
filler_end = int(filler_start) + int(filler_elem.attrib["length"]) - 1
filler_type = filler_elem.attrib["type"]
filler_text = filler_elem.text
mention_offset = filler_start + ":" + str(filler_end)
mention_dict = {"filler_id": filler_id, "type": filler_type, "text": filler_text,
"offset": mention_offset}
filler_mentions_offset2dict[mention_offset] = mention_dict
filler_mentions_mentionid2dict[filler_id] = mention_dict
# parse all relations
relation_mentions_id2dict = {}
relation_mentions_men2men2dict = {}
for relation_elem in all_relation_elems:
relation_elem_attribs = relation_elem.attrib
relation_id = relation_elem_attribs["id"] # CNN_CF_20030303.1900.00-R2
relation_type = relation_elem_attribs["type"] # PART-WHOLE
relation_subtype = relation_elem_attribs["subtype"] # PART-WHOLE
all_relation_mention_elems = relation_elem.findall("relation_mention")
for relation_mention_elem in all_relation_mention_elems:
relation_mention_id = relation_mention_elem.attrib["id"]
relation_mention_realis = relation_mention_elem.attrib["realis"]
relation_mention_argument0_elem = relation_mention_elem.findall("rel_arg1")[0]
relation_mention_argument1_elem = relation_mention_elem.findall("rel_arg2")[0]
if "entity_id" in relation_mention_argument0_elem.attrib:
relation_mention_argument0_refid = relation_mention_argument0_elem.attrib["entity_mention_id"]
relation_mention_argument0_role = relation_mention_argument0_elem.attrib["role"]
relation_mention_argument0_extend_offset = \
entity_mentions_mentionid2dict[relation_mention_argument0_refid]["offset"]
relation_mention_argument0_extend_text = \
entity_mentions_mentionid2dict[relation_mention_argument0_refid]["text"]
elif "filler_id" in relation_mention_argument0_elem.attrib:
relation_mention_argument0_refid = relation_mention_argument0_elem.attrib["filler_id"]
relation_mention_argument0_role = relation_mention_argument0_elem.attrib["role"]
relation_mention_argument0_extend_offset = \
filler_mentions_mentionid2dict[relation_mention_argument0_refid]["offset"]
relation_mention_argument0_extend_text = \
filler_mentions_mentionid2dict[relation_mention_argument0_refid]["text"]
if "entity_id" in relation_mention_argument1_elem.attrib:
relation_mention_argument1_refid = relation_mention_argument1_elem.attrib["entity_mention_id"]
relation_mention_argument1_role = relation_mention_argument1_elem.attrib["role"]
relation_mention_argument1_extend_offset = \
entity_mentions_mentionid2dict[relation_mention_argument1_refid]["offset"]
relation_mention_argument1_extend_text = \
entity_mentions_mentionid2dict[relation_mention_argument1_refid]["text"]
elif "filler_id" in relation_mention_argument1_elem.attrib:
relation_mention_argument1_refid = relation_mention_argument1_elem.attrib["filler_id"]
relation_mention_argument1_role = relation_mention_argument1_elem.attrib["role"]
relation_mention_argument1_extend_offset = \
filler_mentions_mentionid2dict[relation_mention_argument1_refid]["offset"]
relation_mention_argument1_extend_text = \
filler_mentions_mentionid2dict[relation_mention_argument1_refid]["text"]
relation_mention_trigger_elems = relation_mention_elem.findall("trigger")
relation_mention_trigger_offset = "O"
relation_mention_trigger_text = "O"
if len(relation_mention_trigger_elems) > 0:
relation_mention_trigger_start = relation_mention_trigger_elems[0].attrib["offset"]
relation_mention_trigger_end = int(relation_mention_trigger_start) + \
int(relation_mention_trigger_elems[0].attrib["length"]) - 1
relation_mention_trigger_offset = relation_mention_trigger_start + ":" + \
str(relation_mention_trigger_end)
relation_mention_trigger_text = relation_mention_trigger_elems[0].text
mention_dict = {"relation_id": relation_id, "relation_type": relation_type,
"relation_subtype": relation_subtype,
"mention_id": relation_mention_id, "mention_realis": relation_mention_realis,
"mention_argument0_refid": relation_mention_argument0_refid,
"mention_argument0_role": relation_mention_argument0_role,
"mention_argument1_refid": relation_mention_argument1_refid,
"mention_argument1_role": relation_mention_argument1_role,
"mention_argument0_offset": relation_mention_argument0_extend_offset,
"mention_argument0_text": relation_mention_argument0_extend_text,
"mention_argument1_offset": relation_mention_argument1_extend_offset,
"mention_argument1_text": relation_mention_argument1_extend_text,
"mention_trigger_offset": relation_mention_trigger_offset,
"mention_trigger_text": relation_mention_trigger_text
}
relation_mentions_id2dict[relation_mention_id] = mention_dict
if relation_mention_argument0_refid in relation_mentions_men2men2dict:
relation_mentions_men2dict = relation_mentions_men2men2dict[relation_mention_argument0_refid]
relation_mentions_men2dict[relation_mention_argument1_refid] = mention_dict
relation_mentions_men2men2dict[relation_mention_argument0_refid] = relation_mentions_men2dict
else:
relation_mentions_men2dict = {relation_mention_argument1_refid: mention_dict}
relation_mentions_men2men2dict[relation_mention_argument0_refid] = relation_mentions_men2dict
# parse all events
event_mentions_id2dict = {}
for event_elem in all_hopper_elems:
event_id = event_elem.attrib["id"]
all_event_mention_elems = event_elem.findall("event_mention")
for event_mention_elem in all_event_mention_elems:
event_mention_id = event_mention_elem.attrib["id"]
event_mention_type = event_mention_elem.attrib["type"]
event_mention_subtype = event_mention_elem.attrib["subtype"]
event_mention_realis = event_mention_elem.attrib["realis"]
event_mention_trigger_elem = event_mention_elem.findall("trigger")[0]
event_mention_trigger_start = event_mention_trigger_elem.attrib["offset"]
event_mention_trigger_end = int(event_mention_trigger_start) + \
int(event_mention_trigger_elem.attrib["length"]) - 1
event_mention_trigger_text = event_mention_trigger_elem.text
event_mention_trigger_offset = event_mention_trigger_start + ":" + \
str(event_mention_trigger_end)
all_event_mention_argument_elems = event_mention_elem.findall("em_arg")
all_event_mention_arguments = []
for event_mention_argument_elem in all_event_mention_argument_elems:
if "entity_id" in event_mention_argument_elem.attrib:
event_mention_argument_refid = event_mention_argument_elem.attrib["entity_mention_id"]
event_mention_argument_offset = entity_mentions_mentionid2dict[event_mention_argument_refid][
"offset"]
event_mention_argument_text = entity_mentions_mentionid2dict[event_mention_argument_refid][
"text"]
elif "filler_id" in event_mention_argument_elem.attrib:
event_mention_argument_refid = event_mention_argument_elem.attrib["filler_id"]
event_mention_argument_offset = filler_mentions_mentionid2dict[event_mention_argument_refid][
"offset"]
event_mention_argument_text = filler_mentions_mentionid2dict[event_mention_argument_refid][
"text"]
event_mention_argument_role = event_mention_argument_elem.attrib["role"]
event_mention_argument_realis = event_mention_argument_elem.attrib["realis"]
event_mention_argument_dict = {"mention_argument_refid": event_mention_argument_refid,
"mention_argument_role": event_mention_argument_role,
"mention_argument_realis": event_mention_argument_realis,
"mention_argument_offset": event_mention_argument_offset,
"mention_argument_text": event_mention_argument_text}
all_event_mention_arguments.append(event_mention_argument_dict)
mention_dict = {"event_id": event_id, "type": event_mention_type, "subtype": event_mention_subtype,
"realis": event_mention_realis, "mention_id": event_mention_id,
"trigger_offset": event_mention_trigger_offset, "trigger_text": event_mention_trigger_text,
"argument": all_event_mention_arguments}
event_mentions_id2dict[event_mention_id] = mention_dict
return entity_mentions_mentionid2dict, filler_mentions_mentionid2dict, \
relation_mentions_id2dict, event_mentions_id2dict
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--bio', type=str,
help='bio input path')
parser.add_argument('--ann', type=str,
help='ace annotation input path')
parser.add_argument('--ere', type=str,
help='output ace annotation path')
parser.add_argument('--filelist', type=str,
help='filelist path')
args = parser.parse_args()
bio_path = args.bio
ann_path = args.ann
ere_path = args.ere
if not os.path.exists(ere_path):
os.makedirs(ere_path)
file_names = []
if os.path.isdir(bio_path):
file_names = [item[:-4]
for item in os.listdir(bio_path)
if item.endswith(".bio")]
else:
file_names = [bio_path]
for f in file_names:
print(f)
bio_file= os.path.join(bio_path, f+".bio")
ann_file = os.path.join(ann_path, f+".rich_ere.xml")
ace_file = os.path.join(ere_path, f+".csv")
if os.path.exists(bio_file) and os.path.exists(ann_file):
write_ann(bio_file, ann_file, ace_file)