Handling Outlandish Occurrences: Using Rules and Lexicons for Correcting NLP Articles

摘要

This article describes the experiments we performed during our participation in the HOO Challenge. We present the adaption we made on two systems, mainly designing new grammatical rules and completing a lexicon. We focused our work on some of the most common errors in the corpus: missing punctuation and inaccurate prepositions. Our best experiment achieved a 0.1097 detection score, a 0.0820 recognition score, and a 0.0557 correction score on the test corpus.