====== Rule-Based Systems ====== ===== Papers ===== * [[Information Extraction]] * See Chapter 2 of [[https://www.cis.uni-muenchen.de/~fraser/information_extraction_2020_lecture/sarawagi.pdf|Sarawagi 2008 - Information Extraction]] * [[https://aclanthology.org/D13-1079.pdf|Chiticariu et al 2013 - Rule-based Information Extraction is Dead! Long Live Rule-based Information Extraction Systems!]] * [[https://www.sciencedirect.com/science/article/pii/S1532046419300218|Topaz et al 2019 - Mining fall-related information in clinical notes: Comparison of rule-basedand novel word embedding-based machine learning approaches]] * [[Machine Translation]] * [[https://aclanthology.org/www.mt-archive.info/MTS-1995-Boguslavsky.pdf|Boguslavsky 1995 - A Bi-directional Russian-to-English Machine Translation System (ETAP-3)]] and [[http://proling.iitp.ru/etap4|ETAP-4]] These are highly developed rule-based broad coverage Russian-English MT systems * [[Sentiment Analysis]] * [[http://comp.social.gatech.edu/papers/icwsm14.vader.hutto.pdf|Hutto & Gilbert 2013 - VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text]] This paper shocked everyone because it was SOTA at the time. It was a rule-based! * [[https://www.emerald.com/insight/content/doi/10.1016/j.aci.2019.02.002/full/pdf?title=a-mixed-approach-of-deep-learning-method-and-rule-based-method-to-improve-aspect-level-sentiment-analysis|Ray & Chakrabarti et al 2019 - A Mixed approach of Deep Learning method and Rule-Based method to improve Aspect Level Sentiment Analysis]] * [[Morphological Analysis]] * The most common approach to morphological analysis is a rule-based [[fsas_and_fsts|FST]] system * [[Grammatical Error Correction]] * Some systems are rule-based, see [[https://www.cambridge.org/core/services/aop-cambridge-core/content/view/E1B54FD65963E65D46EF440B5A13F186/S1351324921000164a.pdf/div-class-title-the-automated-writing-assistance-landscape-in-2021-div.pdf|Dale & Viethen 2021 - The Automated Writing Assistance Landscape in 2021]]