A semantic grammar for beginning communicators

Martínez-Santiago, Fernando; Díaz–Galiano, Manuel Carlos; Ureña‐López, L. Alfonso; Mitkov, Ruslan

doi:10.1016/j.knosys.2015.06.002

Cited by 9 publications

(11 citation statements)

References 19 publications

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“…This recommendation model does not support syntactic coherence nor vocabulary customization for each user. Martínez-Santiago et al (2015) proposed the Simple Upper Ontology (SUpO), a language-independent semantic grammar for modeling the language of a beginner communicator. SUpO is rooted in both the semantic model of FrameNet 1 and the syntactic model of Grammatical Framework 2 .…”

Section: Existing Aac Systemsmentioning

confidence: 99%

“…In turn, in a contextual disposition, Cup can be organized into Kitchen or Restaurant contexts, for instance. From the system point of view, it is desirable that the internal vocabulary organization reflects user's mental lexicon (i.e., how the human mind organizes words), which has been done with (i) ontologies in Martínez-Santiago et al (2015), and (ii) the frame-semantic approach in Hernández et al (2014) to model the cognitive process underlying language use. An ontology is a taxonomy with a set of inference rules that allow automatic reasoning on its elements [Gruber 1995], while a semantic frame is a data structure that represents familiar objects and common situations [Lowe et al 1997] -for example, the Ingestion frame model the verb to eat has two frame elements Ingestor and Ingestible.…”

Section: Customizationmentioning

confidence: 99%

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Towards a Reference Architecture for Augmentative and Alternative Communication Systems

Franco

Silva

Lima

et al. 2018

Anais Do XXIX Simpósio Brasileiro De Informática Na Educação (SBIE 2018)

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Augmentative and Alternative Communication (AAC) systems are broadly used to expand communication skills of individuals with severe communicative disorders. These systems should prioritize requirements that contribute to making the communication easy and effective to be robust. However, there is no guideline available to aid the implementation of these systems. In this paper, we analyze the fragmented knowledge available on scientific proposals and technological solutions to extract key concepts for a robust AAC system. Then, we propose a Reference Architecture (RA) that can be used as a conceptual guide to define and evaluate concrete and robust software architectures for several goals including literacy in inclusive education.

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Section: Existing Aac Systemsmentioning

confidence: 99%

Section: Customizationmentioning

confidence: 99%

Towards a Reference Architecture for Augmentative and Alternative Communication Systems

Franco

Silva

Lima

et al. 2018

Anais Do XXIX Simpósio Brasileiro De Informática Na Educação (SBIE 2018)

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“…Knowledge in FN is represented as frames and an annotated corpus (Baker, 2012;Wandmacher et al, 2011). Frames represent generalizations over groups of words which illustrate equivalent situations, similar set of roles and related syntactic behaviour (Martínez-Santiago et al, 2015;O'Hara & Wiebe, 2009). In the theory of frame semantics, the roles or common situations which describes a frame are called frame elements (Das et al, 2014;Pimentel et al, 2012).…”

Section: Framenetmentioning

confidence: 99%

“…FN version 1.3, is a freely available lexical database which contains a wealth of semantic knowledge of about 1161 Semantic Frames, covering more than 12,600 lexical units, documented with nearly 200,000 manual annotations (Lakhfif & Laskri, 2015). FN is developed based on the eXtensible Markup Language (XML) (Martínez-Santiago et al, 2015). Raw sentences are annotated and converted to XML, using a Java GUI client, and then inserted into tables in a MySQL database (Baker, 2012).…”

Section: Framenetmentioning

confidence: 99%

Towards knowledge modeling and manipulation technologies: A survey

Bimba

Al-Hunaiyyan

Mahmud

et al. 2016

International Journal of Information Management

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A system which represents knowledge is normally referred to as a knowledge based system (KBS). This article focuses on surveying publications related to knowledge base modelling and manipulation technologies, between the years 2000-2015. A total of 185 articles excluding the subject descriptive articles which are mentioned in the introductory parts, were evaluated in this survey. The main aim of this study is to identify different knowledge base modelling and manipulation techniques based on 4 categories; 1) linguistic knowledge base; 2) expert knowledge base; 3) ontology and 4) cognitive knowledge base. This led to the proposition of 8 research questions, which focused on the different categories of knowledge base modelling technologies, their underlying theories, knowledge representation technique, knowledge acquisition technique, challenges, applications, development tools and development languages. A part of the findings from this survey is the high dependence of linguistic knowledge base, expert knowledge base and ontology on volatile expert knowledge. A promising technique for knowledge-based business management and other knowledge related applications is also discussed.

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“…• Simple Upper Ontology, SUpO, is the upper ontology, a semantic grammar with regard to the world in which it is suitable to communicate within a controlled language. This ontology is feasible because the size of the core vocabulary of the controlled language is relatively small and it is used to make straightforward assertions (Martínez-Santiago et al, 2015). Pict-Ontology is an ontology linked to SUpO (described in section 4).…”

Section: Pictogrammarmentioning

confidence: 99%

Pictogrammar: an AAC device based on a semantic grammar

Martínez-Santiago

Cumbreras

Ráez

et al. 2016

Proceedings of the 11th Workshop on Innovative Use of NLP For Building Educational Applications

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As many as two-thirds of individuals with an Autism Spectrum Disorder (ASD) also have language impairments, which can range from mild limitations to complete non-verbal behavior. For such cases, there are several Augmentative and Alternative Communication (AAC) devices available. These are computer-designed tools in order to help people with ASD to palliate or overcome such limitations, at least partially. Some of the most popular AAC devices are based on pictograms, so that a pictogram is the graphical representation of a simple concept and sentences are composed by concatenating a number of such pictograms. Usually, these tools have to manage a vocabulary made up of hundreds of pictograms/concepts, with no or very poor knowledge of the language at semantic and pragmatic level. In this paper we present Pictogrammar, an AAC system which takes advantage of SUpO and PictOntology. SUpO (Simple Upper Ontology) is a formal semantic ontology which is made up of detailed knowledge of facts of everyday life such as simple words, with special interest in linguistic issues, allowing automated grammatical supervision. PictOntology is an ontology developed to manage sets of pictograms, linked to SUpO. Both ontologies make possible the development of tools which are able to take advantage of a formal semantics.

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A semantic grammar for beginning communicators

Cited by 9 publications

References 19 publications

Towards a Reference Architecture for Augmentative and Alternative Communication Systems

Towards a Reference Architecture for Augmentative and Alternative Communication Systems

Towards knowledge modeling and manipulation technologies: A survey

Pictogrammar: an AAC device based on a semantic grammar

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