{'fraction_non_alphanumeric': 0.03407755581668625, 'fraction_numerical': 0.0, 'mean_word_length': 5.311111111111111, '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}}
The University of Washington's UWclmaQA System

The University of Washington’s UWCLMAQA is an open-architecture Question Answering system, built around open source tools unified into one system design using customized enhancements. The goal was to develop an end-to-end QA system that could be easily modified by switching out tools as needed. Central to the system is Lucene, which we use for document retrieval. Various other tools are used, such the GoogleAPI for web boosting, fnTBL Chunker for text chunking, Lingua::Stem for stemming, Lingpipe for Named Entity Recognition, etc. We also developed several in-house evaluation tools for gauging our progress at each major milestone (e.g., document classification, document retrieval, passage retrieval, etc.) and statistical classifiers were developed that we use for various classification tasks.