TY - CHAP
T1 - On the automatic analysis of rules governing online communities
AU - Beltran, Adan
AU - Osman, Nardine
AU - Aguilar, Lourdes
AU - Sierra, Carles
PY - 2018
Y1 - 2018
N2 - The automatic translation of rules or legal text from natural language into formal language has gained interest in the natural language processing domain, especially in the field of law and AI. Our research goal is to be able to automatically extract, from rules in natural language, the necessary elements that define these rules, such as the action in question, its modality (duty, right, privilege,..), the first person the rule addresses, the second person affected by the rule, and the condition (if the rule was a conditional rule). As a first step toward identifying these elements, we start by identifying the semantic subjects, verbs, and objects in sentences of online normative texts. This paper presents the SVO+ model that achieves this, and our evaluation illustrates the model’s high precision when tested with the terms of use from websites like Facebook and Twitter.
AB - The automatic translation of rules or legal text from natural language into formal language has gained interest in the natural language processing domain, especially in the field of law and AI. Our research goal is to be able to automatically extract, from rules in natural language, the necessary elements that define these rules, such as the action in question, its modality (duty, right, privilege,..), the first person the rule addresses, the second person affected by the rule, and the condition (if the rule was a conditional rule). As a first step toward identifying these elements, we start by identifying the semantic subjects, verbs, and objects in sentences of online normative texts. This paper presents the SVO+ model that achieves this, and our evaluation illustrates the model’s high precision when tested with the terms of use from websites like Facebook and Twitter.
KW - Normative texts
KW - Objects
KW - Semantic subjects
KW - Text analysis
KW - Verbs
UR - https://www.scopus.com/pages/publications/85057124133
U2 - 10.1007/978-3-030-03928-8_29
DO - 10.1007/978-3-030-03928-8_29
M3 - Capítulo
AN - SCOPUS:85057124133
SN - 9783030039271
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 354
EP - 366
BT - Advances in Artificial Intelligence – IBERAMIA 2018 - 16th Ibero-American Conference on AI, Proceedings
A2 - Fermé, Eduardo
A2 - Simari, Guillermo R.
A2 - Gutiérrez Segura, Flabio
A2 - Rodríguez Melquiades, José Antonio
ER -