{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:48:01Z","timestamp":1782809281999,"version":"3.54.5"},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,23]]},"abstract":"<jats:p>Court auction notices constitute a highly formalised class of legal documents characterised by structural heterogeneity, procedural redundancy, and dispersed key information. This paper presents a computational pipeline for the automatic analysis and extractive summarisation of such notices using classical machine learning methods.\n\nThe proposed system integrates domain-aware preprocessing, token-level semantic classification, and supervised sentence relevance modelling based on TF\u2013IDF features enriched with structural indicators. A one-vs-rest logistic regression classifier is employed to identify informative, highly relevant auction content.\n\nThe approach is evaluated on real-world Polish court auction data. An ablation study confirms the contribution of manually engineered features, and a manual evaluation involving 250 summary assessments demonstrates improved readability and information coverage compared to baseline methods.\n\nThe system can be interpreted as an information-reduction and decision-support component that enables structured data extraction for downstream analytical and simulation-based applications.<\/jats:p>","DOI":"10.7148\/2026-0171","type":"proceedings-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:36:46Z","timestamp":1782808606000},"page":"171-179","source":"Crossref","is-referenced-by-count":0,"title":["Automatic analysis and summarisation of court auction notices using natural language processing"],"prefix":"10.7148","author":[{"given":"Grzegorz","family":"Piasny","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filip","family":"Kruzel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4144","published-online":{"date-parts":[[2026,6,23]]},"event":{"name":"40th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina"],"original-title":[],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:36:53Z","timestamp":1782808613000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scs-europe.net\/dlib\/2026\/ecms2026acceptedpapers\/0171_fes_ecms2026_0042.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2026-0171","relation":{},"subject":[],"published":{"date-parts":[[2026,6,23]]}}}