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24
Enriching OWL ontologies with linguistic and userrelated annotations: the ELEON system
- In Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence
, 2007
"... This paper introduces ELEON, an editor that allows the enrichment of OWL ontologies with linguistic and user-related annotations. The enriched ontologies are used by natural language generation (NLG) engines to generate textual descriptions of the objects represented in the ontologies in the selecte ..."
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This paper introduces ELEON, an editor that allows the enrichment of OWL ontologies with linguistic and user-related annotations. The enriched ontologies are used by natural language generation (NLG) engines to generate textual descriptions of the objects represented in the ontologies in the selected language and according to user’s model. ELEON provides a well-defined interface that can be used by different NLG engines. The paper presents the relevant functionalities of ELEON, describes the provided interface to NLG engines and discusses the advantages of exploiting such enriched ontologies in NLG.
oro.open.ac.uk Automating Generation of Textual Class Definitions from OWL to
"... Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online’s data policy on reuse of materials please consult the policies page. ..."
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Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online’s data policy on reuse of materials please consult the policies page.
Interpretation and Transformation for Abstracting Conversations
"... We address the challenge of automatically abstracting conversations such as face-to-face meetings and emails. We focus here on the stages of interpretation, where sentences are mapped to a conversation ontology, and transformation, where the summary content is selected. Our approach is fully develop ..."
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We address the challenge of automatically abstracting conversations such as face-to-face meetings and emails. We focus here on the stages of interpretation, where sentences are mapped to a conversation ontology, and transformation, where the summary content is selected. Our approach is fully developed and tested on meeting speech, and we subsequently explore its application to email conversations. 1
Using NLG to help language-impaired users tell stories and participate in social dialogues
- In Proceedings of the 12th European Workshop on Natural Language Generation (ENLG-09
, 2009
"... Augmentative and Alternative Communication (AAC) systems are communication aids for people who cannot speak because of motor or cognitive impairments. We are developing AAC systems where users select information they wish to communicate, and this is expressed using an NLG system. We believe this mod ..."
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Augmentative and Alternative Communication (AAC) systems are communication aids for people who cannot speak because of motor or cognitive impairments. We are developing AAC systems where users select information they wish to communicate, and this is expressed using an NLG system. We believe this model will work well in contexts where AAC users wish to go beyond simply making requests or answering questions, and have more complex communicative goals such as story-telling and social interaction. 1
SPARTIQULATION – Verbalizing SPARQL queries
- In Proceedings of ILD Workshop, ESWC
, 2012
"... Abstract. Much research has been done to combine the fields of Databases and Natural Language Processing. While many works focus on the problem of deriving a structured query for a given natural language question, the problem of query verbalization – translating a structured query into natural langu ..."
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Abstract. Much research has been done to combine the fields of Databases and Natural Language Processing. While many works focus on the problem of deriving a structured query for a given natural language question, the problem of query verbalization – translating a structured query into natural language – is less explored. In this work we describe our approach to verbalizing SPARQL queries in order to create natural language expressions that are readable and understandable by the human day-to-day user. These expressions are helpful when having search engines that generate SPARQL queries for user-provided natural language questions or keywords. Displaying verbalizations of generated queries to a user enables the user to check whether the right question has been understood. While our approach enables verbalization of only a subset of SPARQL 1.1, this subset applies to 90 % of the 209 queries in our training set. These observations are based on a corpus of SPARQL queries consisting of datasets from the QALD-1 challenge and the ILD2012 challenge.
Generating Natural Language Descriptions from OWL Ontologies: Experience from the NaturalOWL System
, 2012
"... We present Naturalowl, an open-source natural language generation system that produces texts describing individuals (e.g., products, museum exhibits) or classes of individuals from owl ontologies optionally associated with linguistic and user modeling resources. Unlike simpler owl verbalizers, which ..."
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Cited by 6 (2 self)
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We present Naturalowl, an open-source natural language generation system that produces texts describing individuals (e.g., products, museum exhibits) or classes of individuals from owl ontologies optionally associated with linguistic and user modeling resources. Unlike simpler owl verbalizers, which typically express a single axiom of the ontology at a time in controlled and often not entirely fluent natural language mostly for the benefit of domain experts, we aim to generate fluent, coherent, and interesting multi-sentence texts appropriate for end-users (e.g., customers, museum visitors). A key benefit of using a system like Naturalowl on the Semantic Web is that it becomes possible to publish information in the form of owl ontologies, and rely on natural language generation to automatically produce personalized texts in multiple languages from the ontologies, thus making the information easily accessible not only to computer programs and domain experts, but also to end-users. We discuss Naturalowl’s processing stages of generating texts, the optional domain-specific linguistic and user modeling resources that can be used at each stage, why such resources are useful, and how they can be created and represented. We also report on trials we performed to measure the effort that is required to configure Naturalowl for new ontologies, and the quality of the resulting texts.
Creation of a new domain and evaluation of comparison generation in a natural language generation system
- in: 5th Int. Nat. Lang. Generation Conf. Salt Fork
, 2008
"... We describe the creation of a new domain for the Methodius Natural Language Generation System, and an evaluation of Methodius ’ parameterized comparison generation algorithm. The new domain was based around music and performers, and texts about the domain were generated using Methodius. Our evaluati ..."
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We describe the creation of a new domain for the Methodius Natural Language Generation System, and an evaluation of Methodius ’ parameterized comparison generation algorithm. The new domain was based around music and performers, and texts about the domain were generated using Methodius. Our evaluation showed that test subjects learned more from texts that contained comparisons than from those that did not. We also established that the comparison generation algorithm could generalize to the music domain. 1
Robot Personality: Representation and Externalization
"... Abstract. One of the greatest challenges in current humancomputer interaction research is the development of natural and affective interfaces. We present personality modelling as the inference of emotion and affect parameters, used by the dialogue management and user interaction components of a robo ..."
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Abstract. One of the greatest challenges in current humancomputer interaction research is the development of natural and affective interfaces. We present personality modelling as the inference of emotion and affect parameters, used by the dialogue management and user interaction components of a robot architecture. We discuss in detail the personality representation and inference aspects of the architecture and also present how the inferred parameters modulate multiple user interface modalities, such as speech and facial expressions. 1
User-Controlled, Robust Natural Language Generation from an Evolving Knowledge Base
"... In this paper we describe a natural language generation system which produces complex sentences from a biology knowledge base. The NLG system allows domain experts to discover errors in the knowledge base and generates certain parts of answers in response to users’ questions in an e-textbook applica ..."
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In this paper we describe a natural language generation system which produces complex sentences from a biology knowledge base. The NLG system allows domain experts to discover errors in the knowledge base and generates certain parts of answers in response to users’ questions in an e-textbook application. The system allows domain experts to customise its lexical resources and to set parameters which influence syntactic constructions in generated sentences. The system is capable of dealing with certain types of incomplete inputs arising from a knowledge base which is constantly edited and includes a referring expression generation module which keeps track of discourse history. Our referring expression module is available for download as the open source Antfarm tool1. 1
Several Required OWL Features for Indigenous Knowledge Management Systems
"... Abstract. This paper describes the features required of OWL to realise and enhance Indigenous Knowledge (IK) digital repositories. Several needs for Indigenous Knowledge management systems (IKMSs) are articulated, based on extensive stakeholder input, and analysed on the suitability of semantic web ..."
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Abstract. This paper describes the features required of OWL to realise and enhance Indigenous Knowledge (IK) digital repositories. Several needs for Indigenous Knowledge management systems (IKMSs) are articulated, based on extensive stakeholder input, and analysed on the suitability of semantic web technologies in addressing them. Based on their potential for impact and maturity, several possible applications are recommended for further investigation and inclusion into current or new IKMSs, including: ontology based querying and browsing; a natural language independent ontology for multilingual data access; support for collaborative knowledge generation; and the formalisation of IK for scientific discovery. For each of these possible applications, the required OWL features are discussed, which include representation of vagueness, mereotopology, modularisation, and extended support for internationalisation and annotation. 1
