Natural Language Processing (NLP) algorithms have significantly advanced the capabilities of understanding, processing and generating human language. However, one persis- tent challenge in NLP is the problem of uncertainty, due e.g. to the inherent complexity of human language, variations in language usage across different contexts and domains, and the presence of noisy or incomplete data. In this work we take in consideration this problem for statistics derived from court documents by NLP systems.
An NLP-based statistical reporting methodology applied to court decisions / V. Bellandi, S. Maghool, S. Siccardi. - In: PROCEEDINGS OF THE ... EUROMICRO CONFERENCE. - ISSN 1089-6503. - (2023), pp. 196105.108-196105.111. (Intervento presentato al 49. convegno Euromicro Conference on Software Engineering and Advanced Applications (SEAA) : 6-8 September tenutosi a Durres nel 2023) [10.1109/SEAA60479.2023.00025].
An NLP-based statistical reporting methodology applied to court decisions
V. BellandiPrimo
;S. MaghoolSecondo
;S. SiccardiUltimo
2023
Abstract
Natural Language Processing (NLP) algorithms have significantly advanced the capabilities of understanding, processing and generating human language. However, one persis- tent challenge in NLP is the problem of uncertainty, due e.g. to the inherent complexity of human language, variations in language usage across different contexts and domains, and the presence of noisy or incomplete data. In this work we take in consideration this problem for statistics derived from court documents by NLP systems.
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