Automatic Classification and Analysis of Provisions in Italian Legal Texts: A Case Study

Bartolini, Roberto; Lenci, Alessandro; Montemagni, Simonetta; Pirrelli, Vito; Soria, Claudia

doi:10.1007/978-3-540-30470-8_72

Cited by 24 publications

(12 citation statements)

References 2 publications

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“…Wang, Yu, and Nishino (2004) propose a new website information detection system based on Webpage type classification for searching information in a particular domain. SALEM (Semantic Annotation for LEgal Management) (Bartolini, Lenci, Montemagni, Pirrelli, & Soria, 2004) is an incremental system developed for automated semantic annotation of (Italian) law texts to effective indexing and retrieval of legal documents. Chan and Lam (2005) propose an approach for facilitating the functional annotation to the Gene ontology by focusing on a subtask of annotation, that is, to determine which of the Gene ontology a literature is associated with.…”

Section: Related Workmentioning

confidence: 99%

An ontological website models-supported search agent for web services

Yang

2008

Expert Systems with Applications

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Section: Related Workmentioning

confidence: 99%

An ontological website models-supported search agent for web services

Yang

2008

Expert Systems with Applications

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“…Their work is preliminary and they do not provide any accuracy result. Bartolini et al [16] semantically annotate and extract deontic norms such as obligation, prohibition, and permission from Italian legal texts. De Maat et al [17] automatically identify different norms from Dutch laws.…”

Section: Related Workmentioning

confidence: 99%

Monitoring Commitments in People-Driven Service Engagements

Kalia

Motahari-Nezhad

Bartolini

et al. 2013

2013 IEEE International Conference on Services Computing

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Abstract-People-driven service engagements involve communication over channels such as chat and email. Such engagements should be understood at the level of the commitments that the participants create and manipulate. Doing so provides a grounding for the communications and yields a business-level accounting of the progress of a service engagement. Existing work on commitment-based service engagements is limited to designtime model creation and verification. In contrast, we present a novel approach for capturing commitment-based engagements that are created dynamically in conversations. We monitor commitments identifying their creation, delegation, completion, or cancellation in the conversations. We have developed a prototype and evaluated it on real-world chat and email datasets. Our prototype captures commitments with a high F-measure of 90% in emails (Enron email corpus) and 80% in chats (HP IT support chat dataset) and provides promising results for capturing additional commitment operations.

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“…Distinguishing between different jurisdictions will enable future studies carrying out empirical comparisons of these jurisdictional differences. 4 Also, limiting the corpus to one jurisdiction removes such differences which can be expected to complicate the development of a representative corpus.…”

Section: Corpus Designmentioning

confidence: 99%

“…This is not necessarily a disadvantage in developing a tool for contract drafters, as such constructs and drafts in various stages of completion would need to be dealt with by a drafting tool. Nonetheless, many of the included examples have not undergone a process of negotiation to a concluded 4 Based on the authors' domain knowledge U.S contracting styles, for instance, appear significantly different to Australian styles in respect of a range of features including sentence lengths, formality of lexicon and use of subparagraphing. 5 http://www.google.com.au 6 By a process of trial and error we found that this particular search combination returns research results with a higher density of contract documents in the search results.…”

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confidence: 99%

A corpus of Australian contract language

Curtotti

McCreath

2011

Proceedings of the 13th International Conference on Artificial Intelligence and Law

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Written contracts are a fundamental framework for economic and cooperative transactions in society. Little work has been reported on the application of natural language processing or corpus linguistics to contracts. In this paper we report the design, profiling and initial analysis of a corpus of Australian contract language. This corpus enables a quantitative and qualitative characterisation of Australian contract language as an input to the development of contract drafting tools. Profiling of the corpus is consistent with its suitability for use in language engineering applications. We provide descriptive statistics for the corpus and show that document length and document vocabulary size approximate to log normal distributions. The corpus conforms to Zipf's law and comparative type to token ratios are consistent with lower term sparsity (an expectation for legal language). We highlight distinctive term usage in Australian contract language. Results derived from the corpus indicate a longer prepositional phrase depth in sentences in contract rules extracted from the corpus, as compared to other corpora.

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Automatic Classification and Analysis of Provisions in Italian Legal Texts: A Case Study

Cited by 24 publications

References 2 publications

An ontological website models-supported search agent for web services

An ontological website models-supported search agent for web services

Monitoring Commitments in People-Driven Service Engagements

A corpus of Australian contract language

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