mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 10:26:35 +03:00
2d249a9502
* fix overflow error on windows * more documentation & logging fixes * md fix * 3 different limit parameters to play with execution time * bug fixes directory locations * small fixes * exclude dev test articles from prior probabilities stats * small fixes * filtering wikidata entities, removing numeric and meta items * adding aliases from wikidata also to the KB * fix adding WD aliases * adding also new aliases to previously added entities * fixing comma's * small doc fixes * adding subclassof filtering * append alias functionality in KB * prevent appending the same entity-alias pair * fix for appending WD aliases * remove date filter * remove unnecessary import * small corrections and reformatting * remove WD aliases for now (too slow) * removing numeric entities from training and evaluation * small fixes * shortcut during prediction if there is only one candidate * add counts and fscore logging, remove FP NER from evaluation * fix entity_linker.predict to take docs instead of single sentences * remove enumeration sentences from the WP dataset * entity_linker.update to process full doc instead of single sentence * spelling corrections and dump locations in readme * NLP IO fix * reading KB is unnecessary at the end of the pipeline * small logging fix * remove empty files
155 lines
6.4 KiB
Python
155 lines
6.4 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
import bz2
|
|
import json
|
|
import logging
|
|
|
|
from bin.wiki_entity_linking.wiki_namespaces import WD_META_ITEMS
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
def read_wikidata_entities_json(wikidata_file, limit=None, to_print=False, lang="en", parse_descr=True):
|
|
# Read the JSON wiki data and parse out the entities. Takes about 7-10h to parse 55M lines.
|
|
# get latest-all.json.bz2 from https://dumps.wikimedia.org/wikidatawiki/entities/
|
|
|
|
site_filter = '{}wiki'.format(lang)
|
|
|
|
# filter: currently defined as OR: one hit suffices to be removed from further processing
|
|
exclude_list = WD_META_ITEMS
|
|
|
|
# punctuation
|
|
exclude_list.extend(["Q1383557", "Q10617810"])
|
|
|
|
# letters etc
|
|
exclude_list.extend(["Q188725", "Q19776628", "Q3841820", "Q17907810", "Q9788", "Q9398093"])
|
|
|
|
neg_prop_filter = {
|
|
'P31': exclude_list, # instance of
|
|
'P279': exclude_list # subclass
|
|
}
|
|
|
|
title_to_id = dict()
|
|
id_to_descr = dict()
|
|
id_to_alias = dict()
|
|
|
|
# parse appropriate fields - depending on what we need in the KB
|
|
parse_properties = False
|
|
parse_sitelinks = True
|
|
parse_labels = False
|
|
parse_aliases = True
|
|
parse_claims = True
|
|
|
|
with bz2.open(wikidata_file, mode='rb') as file:
|
|
for cnt, line in enumerate(file):
|
|
if limit and cnt >= limit:
|
|
break
|
|
if cnt % 500000 == 0 and cnt > 0:
|
|
logger.info("processed {} lines of WikiData JSON dump".format(cnt))
|
|
clean_line = line.strip()
|
|
if clean_line.endswith(b","):
|
|
clean_line = clean_line[:-1]
|
|
if len(clean_line) > 1:
|
|
obj = json.loads(clean_line)
|
|
entry_type = obj["type"]
|
|
|
|
if entry_type == "item":
|
|
keep = True
|
|
|
|
claims = obj["claims"]
|
|
if parse_claims:
|
|
for prop, value_set in neg_prop_filter.items():
|
|
claim_property = claims.get(prop, None)
|
|
if claim_property:
|
|
for cp in claim_property:
|
|
cp_id = (
|
|
cp["mainsnak"]
|
|
.get("datavalue", {})
|
|
.get("value", {})
|
|
.get("id")
|
|
)
|
|
cp_rank = cp["rank"]
|
|
if cp_rank != "deprecated" and cp_id in value_set:
|
|
keep = False
|
|
|
|
if keep:
|
|
unique_id = obj["id"]
|
|
|
|
if to_print:
|
|
print("ID:", unique_id)
|
|
print("type:", entry_type)
|
|
|
|
# parsing all properties that refer to other entities
|
|
if parse_properties:
|
|
for prop, claim_property in claims.items():
|
|
cp_dicts = [
|
|
cp["mainsnak"]["datavalue"].get("value")
|
|
for cp in claim_property
|
|
if cp["mainsnak"].get("datavalue")
|
|
]
|
|
cp_values = [
|
|
cp_dict.get("id")
|
|
for cp_dict in cp_dicts
|
|
if isinstance(cp_dict, dict)
|
|
if cp_dict.get("id") is not None
|
|
]
|
|
if cp_values:
|
|
if to_print:
|
|
print("prop:", prop, cp_values)
|
|
|
|
found_link = False
|
|
if parse_sitelinks:
|
|
site_value = obj["sitelinks"].get(site_filter, None)
|
|
if site_value:
|
|
site = site_value["title"]
|
|
if to_print:
|
|
print(site_filter, ":", site)
|
|
title_to_id[site] = unique_id
|
|
found_link = True
|
|
|
|
if parse_labels:
|
|
labels = obj["labels"]
|
|
if labels:
|
|
lang_label = labels.get(lang, None)
|
|
if lang_label:
|
|
if to_print:
|
|
print(
|
|
"label (" + lang + "):", lang_label["value"]
|
|
)
|
|
|
|
if found_link and parse_descr:
|
|
descriptions = obj["descriptions"]
|
|
if descriptions:
|
|
lang_descr = descriptions.get(lang, None)
|
|
if lang_descr:
|
|
if to_print:
|
|
print(
|
|
"description (" + lang + "):",
|
|
lang_descr["value"],
|
|
)
|
|
id_to_descr[unique_id] = lang_descr["value"]
|
|
|
|
if parse_aliases:
|
|
aliases = obj["aliases"]
|
|
if aliases:
|
|
lang_aliases = aliases.get(lang, None)
|
|
if lang_aliases:
|
|
for item in lang_aliases:
|
|
if to_print:
|
|
print(
|
|
"alias (" + lang + "):", item["value"]
|
|
)
|
|
alias_list = id_to_alias.get(unique_id, [])
|
|
alias_list.append(item["value"])
|
|
id_to_alias[unique_id] = alias_list
|
|
|
|
if to_print:
|
|
print()
|
|
|
|
# log final number of lines processed
|
|
logger.info("Finished. Processed {} lines of WikiData JSON dump".format(cnt))
|
|
return title_to_id, id_to_descr, id_to_alias
|
|
|
|
|