{'fraction_non_alphanumeric': 0.016107382550335572, 'fraction_numerical': 0.0, 'mean_word_length': 5.26890756302521, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Person entity attributes association in list pages

Person entity attributes association is a basic task in WePS, but it's still a challenging task because of heterogeneous web pages which can be classified into two categories, list page and detail page. In this paper, we study the problem of associating person entity attributes in various list pages. Our target is to find a consolidated solution as general as possible to deal with list pages in person entity attributes association. In contrast to most existing methods, we extract visual features and leverage Markov logic networks (MLNs) to effectively integrate all useful evidence by learning there importance automatically. The experimental results show a very encouraging performance.