ISO 24617-12:2025 PDF
Language resource management — Semantic annotation framework (SemAF) — Part 12: Quantification
Language resource management — Semantic annotation framework (SemAF) — Part 12: Quantification
- Статус документа:
- Действующий
- Формат:
- Электронный (PDF)
- Количество страниц:
- 48
- Дата публикации:
- 8 января 2025 г.
- Издание:
- ISO IS 24617 edition 1 version 1
- ICS:
- 01.020
This document specifies a markup language called QuantML for annotating and representing semantic phenomena relating to quantification in natural language. QuantML comprises an extensible markup language (XML)-based representation format, an abstract syntax and a semantics.
Abstract
Overview
ISO 24617-12:2025 - part of the ISO SemAF (Semantic Annotation Framework) series - specifies a markup language called QuantML for annotating quantification phenomena in natural language. QuantML provides an XML-based concrete syntax, an abstract syntax and a formal semantics to represent quantification aspects (e.g., determinacy, distributivity, scope) in an interoperable way. The standard is intended for language resource management and consistent semantic annotation across corpora and tools.
Key topics
- QuantML specification: an extensible XML representation, abstract syntax, and semantics for quantification annotation.
- Basic concepts covered: determinacy, definiteness, distributivity, individuation (count vs. mass), event sets, participant scope, event scope, exhaustivity, genericity, repetitiveness, modifiers (restrictiveness/linking), polarity and modality, inverse linking, argument roles.
- Annotation structures: entity structures and link structures for expressing quantified expressions and their relations.
- Representation formats: reference concrete syntax examples and guidelines for encoding annotations in XML.
- Semantics and guidelines: formal semantic definitions and informative annexes with annotation guidance and example annotations (including an explanatory Quantification Bank repository referenced by the standard).
Practical applications
- Corpus annotation: create interoperable, richly annotated corpora that capture quantification phenomena for training and evaluation.
- Natural Language Processing (NLP): improve tasks that rely on precise quantifier interpretation-information extraction, question answering, semantic parsing, coreference resolution, and dialogue understanding.
- Language resources and tools: standardize exchange formats for annotation tools, pipelines, and repositories to increase reusability and comparability.
- Research in semantics and linguistics: provide a reproducible annotation model for cross-linguistic studies of quantification, mass/count distinctions, and scope phenomena.
- Standards compliance and integration: apply SemAF principles to ensure annotations are consistent with other ISO 24617 parts.
Who should use it
- Computational linguists, corpus linguists, and annotation engineers
- NLP and AI teams building QA, IE, or dialogue systems needing robust quantifier handling
- Language technology tool developers and data curators seeking interoperable XML annotation formats
- Standardization bodies and academic researchers working on semantic annotation frameworks
Related standards
- ISO 24617 series (SemAF) - overarching semantic annotation framework
- ISO 24617-6 - principles for semantic annotation (referenced for compatibility)
Keywords: ISO 24617-12, QuantML, semantic annotation, quantification annotation, SemAF, XML annotation, language resource management, NLP annotation, quantifier scope.
Технические детали
- Технический комитет
- ISO/TC 37/SC 4 - Language resource management
- SKU
- ISO 24617-12:2025
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