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Add TREC COVID queries based from udel_fang_run3 (#1142)
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# -*- coding: utf-8 -*- | ||
""" | ||
Anserini: A toolkit for reproducible information retrieval research built on Lucene | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. | ||
""" | ||
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||
import os | ||
import argparse | ||
import scispacy | ||
import spacy | ||
from lxml import etree | ||
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||
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||
if __name__ == '__main__': | ||
parser = argparse.ArgumentParser() | ||
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# general settings | ||
parser.add_argument('--anserini_root', default='', help='Anserini path') | ||
parser.add_argument('--output_file', help='output path for the query') | ||
parser.add_argument( | ||
'--round', default='1', choices=['1', '2'], | ||
help='which round the query file should be generated for' | ||
) | ||
args = parser.parse_args() | ||
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# stopwords from | ||
# https://github.com/igorbrigadir/stopwords/edit/master/en/galago_inquery.txt | ||
stopwords = { | ||
'a', 'about', 'above', 'according', 'across', 'after', 'afterwards', 'again', | ||
'against', 'albeit', 'all', 'almost', 'alone', 'along', 'already', 'also', | ||
'although', 'always', 'am', 'among', 'amongst', 'an', 'and', 'another', | ||
'any', 'anybody', 'anyhow', 'anyone', 'anything', 'anyway', 'anywhere', | ||
'apart', 'are', 'around', 'as', 'at', 'av', 'be', 'became', 'because', | ||
'become', 'becomes', 'becoming', 'been', 'before', 'beforehand', 'behind', | ||
'being', 'below', 'beside', 'besides', 'between', 'beyond', 'both', 'but', | ||
'by', 'can', 'cannot', 'canst', 'certain', 'cf', 'choose', 'contrariwise', | ||
'cos', 'could', 'cu', 'day', 'do', 'does', 'doesn', 't', 'doing', 'dost', | ||
'doth', 'double', 'down', 'dual', 'during', 'each', 'either', 'else', | ||
'elsewhere', 'enough', 'et', 'etc', 'even', 'ever', 'every', 'everybody', | ||
'everyone', 'everything', 'everywhere', 'except', 'excepted', 'excepting', | ||
'exception', 'exclude', 'excluding', 'exclusive', 'far', 'farther', | ||
'farthest', 'few', 'ff', 'first', 'for', 'formerly', 'forth', 'forward', | ||
'from', 'front', 'further', 'furthermore', 'furthest', 'get', 'go', 'had', | ||
'halves', 'hardly', 'has', 'hast', 'hath', 'have', 'he', 'hence', | ||
'henceforth', 'her', 'here', 'hereabouts', 'hereafter', 'hereby', 'herein', | ||
'hereto', 'hereupon', 'hers', 'herself', 'him', 'himself', 'hindmost', 'his', | ||
'hither', 'hitherto', 'how','however', 'howsoever', 'i', 'ie', 'if', 'in', | ||
'inasmuch', 'inc', 'include', 'included', 'including', 'indeed', 'indoors', | ||
'inside', 'insomuch', 'instead', 'into', 'inward', 'inwards', 'is', 'it', | ||
'its', 'itself', 'just', 'kg', 'kind', 'km', 'last', 'latter', 'latterly', | ||
'less', 'lest', 'let', 'like', 'little', 'ltd', 'many', 'may', 'maybe', 'me', | ||
'meantime', 'meanwhile', 'might', 'more','moreover', 'most', 'mostly', 'mr', | ||
'mrs', 'ms', 'much', 'must', 'my', 'myself', 'namely', 'need', 'neither', | ||
'never', 'nevertheless', 'next', 'no', 'nobody', 'none', 'nonetheless', | ||
'noone', 'nope', 'nor', 'not', 'nothing', 'notwithstanding', 'now', | ||
'nowadays', 'nowhere', 'of', 'off', 'often', 'ok', 'on', 'once', 'one', | ||
'only', 'onto', 'or', 'other', 'others', 'otherwise', 'ought', 'our', | ||
'ours', 'ourselves', 'out', 'outside', 'over', 'own', 'per', 'perhaps', | ||
'plenty', 'provide', 'quite', 'rather', 'really', 'round', 'said', 'sake', | ||
'same', 'sang', 'save', 'saw', 'see', 'seeing', 'seem', 'seemed', 'seeming', | ||
'seems', 'seen', 'seldom', 'selves', 'sent', 'several', 'shalt', 'she', | ||
'should', 'shown', 'sideways', 'since', 'slept', 'slew', 'slung', 'slunk', | ||
'smote', 'so', 'some', 'somebody', 'somehow', 'someone', 'something', | ||
'sometime', 'sometimes', 'somewhat', 'somewhere', 'spake', 'spat', 'spoke', | ||
'spoken', 'sprang', 'sprung', 'stave', 'staves', 'still', 'such', 'supposing', | ||
'than', 'that', 'the', 'thee', 'their', 'them', 'themselves', 'then', 'thence', | ||
'thenceforth', 'there', 'thereabout', 'thereabouts', 'thereafter', 'thereby', | ||
'therefore', 'therein', 'thereof', 'thereon', 'thereto', 'thereupon', 'these', | ||
'they', 'this', 'those', 'thou', 'though', 'thrice', 'through', 'throughout', | ||
'thru', 'thus', 'thy', 'thyself', 'till', 'to', 'together', 'too', 'toward', | ||
'towards', 'ugh', 'unable', 'under', 'underneath', 'unless', 'unlike', 'until', | ||
'up', 'upon', 'upward', 'upwards', 'us', 'use', 'used', 'using', 'very', 'via', | ||
'vs', 'want', 'was', 'we', 'week', 'well', 'were', 'what', 'whatever', | ||
'whatsoever', 'when', 'whence', 'whenever', 'whensoever', 'where', 'whereabouts', | ||
'whereafter', 'whereas', 'whereat', 'whereby', 'wherefore', 'wherefrom', | ||
'wherein', 'whereinto', 'whereof', 'whereon', 'wheresoever', 'whereto', 'whereunto', | ||
'whereupon', 'wherever', 'wherewith', 'whether', 'whew', 'which', 'whichever', | ||
'whichsoever', 'while', 'whilst', 'whither', 'who', 'whoa', 'whoever', 'whole', | ||
'whom', 'whomever', 'whomsoever', 'whose', 'whosoever', 'why', 'will', 'wilt', | ||
'with', 'within', 'without', 'worse', 'worst', 'would', 'wow', 'ye', 'year', 'yet', | ||
'yippee', 'you', 'your', 'yours', 'yourself', 'yourselves' | ||
} | ||
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nlp = spacy.load('en_core_sci_lg') | ||
original_query_file_name = f'topics.covid-round{args.round}.xml' | ||
original_query_file = os.path.join( | ||
args.anserini_root, | ||
'src/main/resources/topics-and-qrels', | ||
original_query_file_name | ||
) | ||
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root = etree.parse(original_query_file).getroot() | ||
for topic in root: | ||
qid = topic.attrib['number'] | ||
for q in topic: | ||
if q.tag == 'query': | ||
query = q.text.strip() | ||
new = [w.text for w in nlp(query) if w.text not in stopwords] | ||
elif q.tag == 'question': | ||
question = q.text.strip() | ||
new += [w.text for w in nlp(question).ents] | ||
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tags_to_be_removed = [] | ||
for q in topic: | ||
if q.tag == 'query': | ||
q.text = ' '.join(new) | ||
else: | ||
tags_to_be_removed.append(q) | ||
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for tag in tags_to_be_removed: | ||
topic.remove(tag) | ||
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with open(args.output_file,'wb') as f: | ||
f.write(etree.tostring(root)) | ||
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92
src/main/resources/topics-and-qrels/topics.covid-round1-udel.xml
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<topics task="COVIDSearch 2020" batch="1"> | ||
<topic number="1"> | ||
<query>coronavirus origin origin COVID-19</query> | ||
</topic> | ||
<topic number="2"> | ||
<query>coronavirus response weather changes coronavirus changes weather</query> | ||
</topic> | ||
<topic number="3"> | ||
<query>coronavirus immunity SARS-CoV2 infected people immunity cross protection</query> | ||
</topic> | ||
<topic number="4"> | ||
<query>people die coronavirus causes death Covid-19</query> | ||
</topic> | ||
<topic number="5"> | ||
<query>animal models COVID-19 drugs SARS-CoV SARS-CoV-2 animal studies</query> | ||
</topic> | ||
<topic number="6"> | ||
<query>coronavirus test rapid testing rapid testing Covid-19</query> | ||
</topic> | ||
<topic number="7"> | ||
<query>serological tests coronavirus serological tests detect antibodies coronavirus</query> | ||
</topic> | ||
<topic number="8"> | ||
<query>coronavirus reporting lack testing availability underreporting true incidence Covid-19</query> | ||
</topic> | ||
<topic number="9"> | ||
<query>coronavirus Canada COVID-19 affected Canada</query> | ||
</topic> | ||
<topic number="10"> | ||
<query>coronavirus social distancing impact social distancing impact slowing spread COVID-19</query> | ||
</topic> | ||
<topic number="11"> | ||
<query>coronavirus hospital rationing guidelines triaging patients infected coronavirus</query> | ||
</topic> | ||
<topic number="12"> | ||
<query>coronavirus quarantine practices hospitals home quarantine</query> | ||
</topic> | ||
<topic number="13"> | ||
<query>coronavirus spread transmission routes coronavirus</query> | ||
</topic> | ||
<topic number="14"> | ||
<query>coronavirus super spreaders evidence COVID-19 super spreaders</query> | ||
</topic> | ||
<topic number="15"> | ||
<query>coronavirus body long coronavirus live body</query> | ||
</topic> | ||
<topic number="16"> | ||
<query>long coronavirus survive surfaces long coronavirus surfaces</query> | ||
</topic> | ||
<topic number="17"> | ||
<query>coronavirus clinical trials clinical trials coronavirus</query> | ||
</topic> | ||
<topic number="18"> | ||
<query>masks prevent coronavirus masks preventing infection Covid-19</query> | ||
</topic> | ||
<topic number="19"> | ||
<query>alcohol sanitizer kills coronavirus type hand sanitizer Covid-19</query> | ||
</topic> | ||
<topic number="20"> | ||
<query>coronavirus ACE inhibitors patients Angiotensin-converting enzyme inhibitors ACE increased risk COVID-19</query> | ||
</topic> | ||
<topic number="21"> | ||
<query>coronavirus mortality mortality rates populations</query> | ||
</topic> | ||
<topic number="22"> | ||
<query>coronavirus heart impacts cardiac complications patients COVID-19</query> | ||
</topic> | ||
<topic number="23"> | ||
<query>coronavirus hypertension complications COVID-19 associated hypertension</query> | ||
</topic> | ||
<topic number="24"> | ||
<query>coronavirus diabetes complications COVID-19 associated diabetes</query> | ||
</topic> | ||
<topic number="25"> | ||
<query>coronavirus biomarkers biomarkers severe clinical course 2019-nCOV infection</query> | ||
</topic> | ||
<topic number="26"> | ||
<query>coronavirus early symptoms initial symptoms Covid-19</query> | ||
</topic> | ||
<topic number="27"> | ||
<query>coronavirus asymptomatic infected Covid-19 asymptomatic</query> | ||
</topic> | ||
<topic number="28"> | ||
<query>coronavirus hydroxychloroquine evidence hydroxychloroquine treating Covid-19</query> | ||
</topic> | ||
<topic number="29"> | ||
<query>coronavirus drug repurposing SARS-CoV-2 proteins-human proteins interactions potential drug targets drugs information</query> | ||
</topic> | ||
<topic number="30"> | ||
<query>coronavirus remdesivir remdesivir effective treatment COVID-19</query> | ||
</topic> | ||
</topics> |
107 changes: 107 additions & 0 deletions
107
src/main/resources/topics-and-qrels/topics.covid-round2-udel.xml
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<topics task="COVIDSearch 2020" batch="2"> | ||
<topic number="1"> | ||
<query>coronavirus origin origin COVID-19</query> | ||
</topic> | ||
<topic number="2"> | ||
<query>coronavirus response weather changes coronavirus changes weather</query> | ||
</topic> | ||
<topic number="3"> | ||
<query>coronavirus immunity SARS-CoV2 infected people immunity cross protection</query> | ||
</topic> | ||
<topic number="4"> | ||
<query>people die coronavirus causes death Covid-19</query> | ||
</topic> | ||
<topic number="5"> | ||
<query>animal models COVID-19 drugs SARS-CoV SARS-CoV-2 animal studies</query> | ||
</topic> | ||
<topic number="6"> | ||
<query>coronavirus test rapid testing rapid testing Covid-19</query> | ||
</topic> | ||
<topic number="7"> | ||
<query>serological tests coronavirus serological tests detect antibodies coronavirus</query> | ||
</topic> | ||
<topic number="8"> | ||
<query>coronavirus reporting lack testing availability underreporting true incidence Covid-19</query> | ||
</topic> | ||
<topic number="9"> | ||
<query>coronavirus Canada COVID-19 affected Canada</query> | ||
</topic> | ||
<topic number="10"> | ||
<query>coronavirus social distancing impact social distancing impact slowing spread COVID-19</query> | ||
</topic> | ||
<topic number="11"> | ||
<query>coronavirus hospital rationing guidelines triaging patients infected coronavirus</query> | ||
</topic> | ||
<topic number="12"> | ||
<query>coronavirus quarantine practices hospitals home quarantine</query> | ||
</topic> | ||
<topic number="13"> | ||
<query>coronavirus spread transmission routes coronavirus</query> | ||
</topic> | ||
<topic number="14"> | ||
<query>coronavirus super spreaders evidence COVID-19 super spreaders</query> | ||
</topic> | ||
<topic number="15"> | ||
<query>coronavirus body long coronavirus live body</query> | ||
</topic> | ||
<topic number="16"> | ||
<query>long coronavirus survive surfaces long coronavirus surfaces</query> | ||
</topic> | ||
<topic number="17"> | ||
<query>coronavirus clinical trials clinical trials coronavirus</query> | ||
</topic> | ||
<topic number="18"> | ||
<query>masks prevent coronavirus masks preventing infection Covid-19</query> | ||
</topic> | ||
<topic number="19"> | ||
<query>alcohol sanitizer kills coronavirus type hand sanitizer Covid-19</query> | ||
</topic> | ||
<topic number="20"> | ||
<query>coronavirus ACE inhibitors patients Angiotensin-converting enzyme inhibitors ACE increased risk COVID-19</query> | ||
</topic> | ||
<topic number="21"> | ||
<query>coronavirus mortality mortality rates populations</query> | ||
</topic> | ||
<topic number="22"> | ||
<query>coronavirus heart impacts cardiac complications patients COVID-19</query> | ||
</topic> | ||
<topic number="23"> | ||
<query>coronavirus hypertension complications COVID-19 associated hypertension</query> | ||
</topic> | ||
<topic number="24"> | ||
<query>coronavirus diabetes complications COVID-19 associated diabetes</query> | ||
</topic> | ||
<topic number="25"> | ||
<query>coronavirus biomarkers biomarkers severe clinical course 2019-nCOV infection</query> | ||
</topic> | ||
<topic number="26"> | ||
<query>coronavirus early symptoms initial symptoms Covid-19</query> | ||
</topic> | ||
<topic number="27"> | ||
<query>coronavirus asymptomatic infected Covid-19 asymptomatic</query> | ||
</topic> | ||
<topic number="28"> | ||
<query>coronavirus hydroxychloroquine evidence hydroxychloroquine treating Covid-19</query> | ||
</topic> | ||
<topic number="29"> | ||
<query>coronavirus drug repurposing SARS-CoV-2 proteins-human proteins interactions potential drug targets drugs information</query> | ||
</topic> | ||
<topic number="30"> | ||
<query>coronavirus remdesivir remdesivir effective treatment COVID-19</query> | ||
</topic> | ||
<topic number="31"> | ||
<query>difference coronavirus flu coronavirus seasonal flu</query> | ||
</topic> | ||
<topic number="32"> | ||
<query>coronavirus subtypes SARS-CoV-2 subtypes</query> | ||
</topic> | ||
<topic number="33"> | ||
<query>coronavirus vaccine candidates vaccine candidates tested Covid-19</query> | ||
</topic> | ||
<topic number="34"> | ||
<query>coronavirus recovery longer-term complications recover COVID-19</query> | ||
</topic> | ||
<topic number="35"> | ||
<query>coronavirus public datasets public datasets COVID-19</query> | ||
</topic> | ||
</topics> |