{'fraction_non_alphanumeric': 0.011086474501108648, 'fraction_numerical': 0.004434589800443459, 'mean_word_length': 4.87012987012987, '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}}
Determining the Speciicity of Nouns from Text

In this work, we use a large text corpus to order nouns by their level of speciicity. This semantic information can for most nouns be determined with over 80% accuracy using simple statistics from a text corpus without using any additional sources of semantic knowledge. This kind of semantic information can be used to help in automatically constructing or augmenting a lexical database such as WordNet.