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Communication Dans Un Congrès Année : 2014

Structural Sentence Decomposition via Open Information Extraction

Résumé

The field of construction engineering is governed by an important volume of legal texts. Each of these texts provide a set of requirements by means of sentences written in natural language. These texts support conformity checking process of objects in construction engineering. Automate or at-least semi-automate this conformity checking process is the target of our project. This automation imposes to be able to make legal requirements processable. Thus, we envisage to rephrase n atural language sentences into a set of atomic requirements (i.e a triple: ). Further, we must identify between the facts found in a given sentence, the exist relations (e.g sentence = f act1 AND f act2 or IF f act1 THEN f act2, etc.), expressible using logical operators. For facts extraction, we have used Open Information Extraction-systems. Since they face a drop of precision mainly due to multi-word expressions, provide a method to handle them before OIE itself. Moreover, we also tackle the problem of enumeration items to improve OIE performance. Using OIE for legal sentences semantics handling, handling of multi-word expressions and contextual phrases and finally computation of relations between facts constitute the originalit y of this work. Such decomposition is the prerequisite to our target: automatic conformity checking.
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Dates et versions

hal-01301084 , version 1 (11-04-2020)

Identifiants

  • HAL Id : hal-01301084 , version 1

Citer

Cheikh Kacfah Emani, Catarina Ferreira da Silva, Bruno Fiès, Parisa Ghodous, Farzad Khosrowshahi. Structural Sentence Decomposition via Open Information Extraction. 18th International Conference Information Visualisation (IV2014), Jul 2014, University of Paris Descartes, France. pp.1-6. ⟨hal-01301084⟩
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