Matches in ScholarlyData for { ?s ?p ?o. }
- item-2 hasContent hinrich-schuetze.
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- 231 creator chiharu-narawa.
- 231 creator claudia-soria.
- 231 creator monica-monachini.
- 231 creator nicoletta-calzolari.
- 231 creator yoshihiko-hayashi.
- 231 type InProceedings.
- 231 label "Ontologizing Lexicon Access Functions based on an LMF-based Lexicon Taxonomy".
- 231 sameAs 231.
- 231 abstract "This paper discusses ontologization of lexicon access functions in the context of a service-oriented language infrastructure, such as the Language Grid. In such a language infrastructure, an access function to a lexical resource, embodied as an atomic Web service, plays a crucially important role in composing a composite Web service tailored to a user s specific requirement. To facilitate the composition process involving service discovery, planning and invocation, the language infrastructure should be ontology-based; hence the ontologization of a range of lexicon functions is highly required. In a service-oriented environment, lexical resources however can be classified from a service-oriented perspective rather than from a lexicographically motivated standard. Hence to address the issue of interoperability, the taxonomy for lexical resources should be ground to principled and shared lexicon ontology. To do this, we have ontologized the standardized lexicon modeling framework LMF, and utilized it as a foundation to stipulate the service-oriented lexicon taxonomy and the corresponding ontology for lexicon access functions. This paper also examines a possible solution to fill the gap between the ontological descriptions and the actual Web service API by adopting a W3C recommendation SAWSDL, with which Web service descriptions can be linked with the domain ontology.".
- 231 hasAuthorList authorList.
- 231 hasTopic Linguistics.
- 231 isPartOf proceedings.
- 231 keyword "LR web services".
- 231 keyword "Lexicon, lexical database".
- 231 keyword "Standards for LRs".
- 231 title "Ontologizing Lexicon Access Functions based on an LMF-based Lexicon Taxonomy".
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- item-1 hasContent yoshihiko-hayashi.
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- item-2 hasContent chiharu-narawa.
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- item-3 hasContent monica-monachini.
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- item-4 hasContent claudia-soria.
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- item-5 hasContent nicoletta-calzolari.
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- 234 creator silke-scheible.
- 234 type InProceedings.
- 234 label "Annotating Superlatives".
- 234 sameAs 234.
- 234 abstract "This paper describes a three-part annotation scheme for superlatives. The first identifies syntactic classes, since superlatives can serve different semantic purposes. The second and third only apply to superlatives that express straight-forward comparisons between targets and their comparison sets. The second form of annotation identifies the spans of each target and comparison set, which is of interest for relation extraction. The third form labels superlatives as facts or opinions, which has not yet been undertaken in the area of sentiment detection. The annotation scheme has been tested and evaluated on 500 tokens of superlatives, the results of which are presented in Section 5. In addition to providing a platform for investigating superlatives on a larger scale, this research also introduces a new text-based Wikipedia corpus which is especially suitable for linguistic research.".
- 234 hasAuthorList authorList.
- 234 hasTopic Linguistics.
- 234 isPartOf proceedings.
- 234 keyword "Corpus (creation, annotation, etc.)".
- 234 keyword "Syntax".
- 234 keyword "Text mining".
- 234 title "Annotating Superlatives".
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- item-1 hasContent silke-scheible.
- 235 creator berenike-loos.
- 235 creator lasse-schwarten.
- 235 type InProceedings.
- 235 label "A Semantic Memory for Incremental Ontology Population".
- 235 sameAs 235.
- 235 abstract "Generally, ontology learning and population is applied as a semi-automatic approach to knowledge acquisition in natural language understanding systems. That means, after the ontology is created or populated, an expert of the domain can still change or refine the newly acquired knowledge. In an incremental ontology learning framework (as e.g. applied for open-domain dialog systems) this approach is not sufficient as knowledge about the real world is dynamic and, therefore, has to be acquired and updated constantly. In this paper we propose the storing of newly acquired instances of an ontological concept in a separate database instead of integrating them directly into the system s knowledge base. The advantage is that possibly incorrect knowledge is not part of the system s ontology but stored aside. Furthermore, information about the confidence about the learned instances can be displayed and used for a final revision as well as a further automatic acquisition.".
- 235 hasAuthorList authorList.
- 235 hasTopic Linguistics.
- 235 isPartOf proceedings.
- 235 keyword "Knowledge representation".
- 235 keyword "Lexicon, lexical database".
- 235 keyword "Ontologies".
- 235 title "A Semantic Memory for Incremental Ontology Population".
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- item-1 type ListItem.
- item-1 hasContent berenike-loos.
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- item-2 hasContent lasse-schwarten.
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- 236 creator andrei-popescu-belis.
- 236 creator maghi-king.
- 236 creator paula-estrella.
- 236 type InProceedings.
- 236 label "Improving Contextual Quality Models for MT Evaluation Based on Evaluators Feedback".
- 236 sameAs 236.
- 236 abstract "The Framework for the Evaluation for Machine Translation (FEMTI) contains guidelines for building a quality model that is used to evaluate MT systems in relation to the purpose and intended context of use of the systems. Contextual quality models can thus be constructed, but entering into FEMTI the knowledge required for this operation is a complex task. An experiment has been set up in order to transfer knowledge from MT evaluation experts into the FEMTI guidelines, by polling experts about the evaluation methods they would use in a particular context, then inferring from the results generic relations between characteristics of the context of use and quality characteristics. The results of this hands-on exercise, carried out as part of a conference tutorial, have served to refine FEMTI s generic contextual quality model and to obtain feedback on the FEMTI guidelines in general.".
- 236 hasAuthorList authorList.
- 236 hasTopic Linguistics.
- 236 isPartOf proceedings.
- 236 keyword "Evaluation methodologies".
- 236 keyword "Machine Translation, SpeechToSpeech Translation".
- 236 keyword "Usability, user satisfaction".
- 236 title "Improving Contextual Quality Models for MT Evaluation Based on Evaluators Feedback".