type=str,
default='data/wiki_index.pkl',
help='page title candiates')
args.add_argument('--labels',
type=str,
default='data/map/ans_to_wiki',
help='write page assignment answers')
args = args.parse_args()
# Open up the database
d = QuestionDatabase(args.database)
page_diversity = d.answer_map(normalize)
# Set up the active learner for writing assignments
al = ActiveLearner(None, args.labels)
existing_labels = set(x[0] for x in al.human_labeled())
# get the candidates we want to assign to pages
answers = d.unmatched_answers(existing_labels)
print(answers.keys()[:10])
# Open up the title finder
tf = TitleFinder(open(args.titles))
for ans, count in sorted(answers.items(),
key=lambda x: sum(x[1].values()),
reverse=True):
if ans in kBAD_ANSWERS:
continue
choices = list(tf.query(ans))
print("--------- (%i)" % sum(count.values()))
args = argparse.ArgumentParser('Interactive assign pages to questions')
args.add_argument('--database', type=str, default='data/questions.db',
help='sqlite3 database of questions')
args.add_argument('--titles', type=str, default='data/wiki_index.pkl',
help='page title candiates')
args.add_argument('--labels', type=str, default='data/map/ans_to_wiki',
help='write page assignment answers')
args = args.parse_args()
# Open up the database
d = QuestionDatabase(args.database)
page_diversity = d.answer_map(normalize)
# Set up the active learner for writing assignments
al = ActiveLearner(None, args.labels)
existing_labels = set(x[0] for x in al.human_labeled())
# get the candidates we want to assign to pages
answers = d.unmatched_answers(existing_labels)
print(answers.keys()[:10])
# Open up the title finder
tf = TitleFinder(open(args.titles))
for ans, count in sorted(answers.items(), key=lambda x: sum(x[1].values()),
reverse=True):
if ans in kBAD_ANSWERS:
continue
choices = list(tf.query(ans))
print("--------- (%i)" % sum(count.values()))
print(ans)
import pickle
import time
from page_assignment.active_learning_for_matching import ActiveLearner
from util.qdb import QuestionDatabase
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="apply wikipedia pages")
parser.add_argument("--db", default='data/questions.db', type=str,
help="The question database")
parser.add_argument("--match_location", type=str,
default='data/map/ans_to_wiki_',
help="Where we read matches learned")
flags = parser.parse_args()
start = time.time()
print("Loading db..")
db = QuestionDatabase(flags.db)
print("Loading classifier...")
classifier = ActiveLearner(None, flags.match_location, [])
for question, page in classifier.human_labeled():
ans_type = ""
db.set_answer_page(question, page, ans_type)
print(question, page, "GIVEN", ans_type)
