Integrating discourse and domain knowledge for document drafting

Branting, L. Karl; Callaway, Charles; Mott, Bradford W.; Lester, James C.

doi:10.1145/323706.323800

Cited by 9 publications

(5 citation statements)

References 15 publications

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“…The text mode enables generating documents for printing purposes and the web mode uses hypertext for document formatting. In the next release, the Docu Planner 2.0 (Branting et al 1999) brings explanations to text parts of the generated document. In that way, the user can get additional information on reasons for including that part of the text in the document.…”

Section: Related Workmentioning

confidence: 99%

Legal document assembly system for introducing law students with legal drafting

Marković

Gostojić

2022

Artif Intell Law

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In this paper, we present a method for introducing law students to the writing of legal documents. The method uses a machine-readable representation of the legal knowledge to support document assembly and to help the students to understand how the assembly is performed. The knowledge base consists of enacted legislation, document templates, and assembly instructions. We propose a system called LEDAS (LEgal Document Assembly System) for the interactive assembly of legal documents. It guides users through the assembly process and provides explanations of the interconnection between input data and claims stated in the document. The system acts as a platform for practicing drafting skills and has great potential as an education tool. It allows teachers to configure the system for the assembly of some particular type of legal document and then enables students to draft the documents by investigating which information is relevant for these documents and how the input data shape the final document. The generated legal document is complemented by a graphical representation of legal arguments expressed in the document. The system is based on existing legal standards to facilitate its introduction in the legal domain. Applicability of the system in the education of future lawyers is positively evaluated by the group of law students and their TA. Supplementary Information The online version contains supplementary material available at 10.1007/s10506-022-09339-2.

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Section: Related Workmentioning

confidence: 99%

Legal document assembly system for introducing law students with legal drafting

Marković

Gostojić

2022

Artif Intell Law

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“…Long's (1997, 1998) system operationalised standard deductive argument patterns as plan operators. Branting, Callaway, Mott, and Lester's (1999) model for drafting legal arguments used legal reasoning and genre-specific rhetorical strategies. Unlike these approaches, the approach presented in this paper uses non-genre-specific, non-domain-specific, mainly causal, normative argumentation schemes.…”

Section: Related Workmentioning

confidence: 99%

Natural language generation of biomedical argumentation for lay audiences

Green

Dwight

Navoraphan

et al. 2011

Argument & Computation

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This article presents an architecture for natural language generation of biomedical argumentation. The goal is to reconstruct the normative arguments that a domain expert would provide, in a manner that is transparent to a lay audience. Transparency means that an argument's structure and functional components are accessible to its audience. Transparency is necessary before an audience can fully comprehend, evaluate or challenge an argument, or re-evaluate it in light of new findings about the case or changes in scientific knowledge. The architecture has been implemented and evaluated in the Genetics Information Expression Assistant, a prototype system for drafting genetic counselling patient letters. Argument generation makes use of abstract argumentation schemes. Derived from the analysis of arguments used in genetic counselling, these mainly causal argument patterns refer to abstract properties of qualitative causal domain models.

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“…Rule-based/deductive reasoning -which tries to deduce how a new text can be organized using some rules. Examples can be mentioned for aggregation in the generation of argumentative texts (Fiedler and Huang, 1995), generating story by using casual reasoning and simulated intention recognition to drive plan creation (Riedl and Young, 2004), and integrating discourse and domain knowledge for document drafting (Branting et al, 1999).…”

Section: Improving/enhancing Reasoning/thinking Ability In the Readermentioning

confidence: 99%

Text organization via projection from researcher‐space onto text‐space

Mahmoudi

Badie²,

Kharrat³

2008

Kybernetes

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PurposeThe purpose of this paper is to propose a new approach for organizing texts for researchers based on projection from researcher space (consisting of reasoning ability and research ability) onto text space (consisting of text features).Design/methodology/approachThe projection from researcher space onto text space is performed on the grounds of the differences between the sets of essential text features which are consistent, respectively, for the reasoning ability (as researcher's existing ability) and the research ability (as researcher's desired ability) using the concept of a dependency graph.FindingsThrough the projection from researcher space onto text space, one can expect to find an effective text which can help a person with certain reasoning ability acquire a certain research ability in the related domain.Research limitations/implicationsAcquisition of reasoning ability (ies) may call for a comprehensive questionnaire or test protocol whose validation by the expert may not necessarily be convenient. Appropriate questionnaires/test protocols, as well as knowledge‐based models for the text features at different layers (to assure derivation of more reliable features), is suggested as future work.Practical implicationsA salient benefit of the proposed approach is its flexibility in responding to a wide range of users with different models. It thus can be used as an efficient tool for online e‐learning and e‐research purposes in cyber‐learning environment.Originality/valueThe originality of the paper mostly lies in the concept of projection from researcher space onto text space as an approach for provision of appropriate text features; and the application of dependency graph as a potential means for identifying those text features whose prerequisites exist in the research abilities of the researcher.

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Integrating discourse and domain knowledge for document drafting

Cited by 9 publications

References 15 publications

Legal document assembly system for introducing law students with legal drafting

Legal document assembly system for introducing law students with legal drafting

Natural language generation of biomedical argumentation for lay audiences

Text organization via projection from researcher‐space onto text‐space

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