Semantic legal metadata provides information that helps with understanding and interpreting provisions. Such is therefore important for the systematic analysis of requirements. However, manually enhancing a large corpus semantic prohibitively expensive. Our work motivated by two observations: (1) existing requirements engineering (RE) literature does not provide harmonized view on types are use...

Introduction Characterizing mentions found in clinical texts that support, refute, or represent uncertainty for suspected pneumonia is one area where automated Natural Language Processing (NLP) screening algorithms could be improved. Mentions of uncertainty and negation commonly occur in clinical texts, and opportunities exist to extend existing algorithms [1] and taxonomies [2]. In general the...

In this case study we show how an unambiguous semantic representation can be constructed dynamically in left-to-right order while a text is written in PENG, a controlled natural language designed for knowledge representation. PENG can be used in contexts where precise texts (e.g. software specifications, axioms for formal ontologies, legal documents) need to be composed. Texts written in PENG l...

The goal of this paper is to introduce and elucidate the concept “productive ambiguity” for study Homeric poetry other literary texts. After introduction, I present a theoretical elucidation concept, starting from general notion ambiguity identifying three features productive ambiguity: its irresolvable character (no alternative can be ruled out on textual or linguistic grounds), persistence (b...

Legal texts, such as regulations and legislation, are increasingly playing an important role in requirements engineering and system development. Monitoring systems for requirements and policy compliance has been recognized in the requirements engineering community as a key area for research. Similarly, regulatory compliance is critical in systems that are governed by regulations and law, especi...

The texts of legislation and regulation must be structured and augmented in order to allow for semantic web services (querying, linking, and inference). However, it is difficult to accurately parse and semantically represent such texts due to conventional practices of the legal community, the length and complexity of legal language, and the textual ground of the law. Controlled natural language...

From the semantic representation produced by TANKA, a domain-independent, knowledge-scant, and interactive natural language analyzer, we construct Horn clauses which represent the facts or rules found in technical texts, specifically legal texts. This article describes the conversion process and the way it takes into account the detailed structure returned by the analyzer, a precise syntacticse...