Matches in ScholarlyData for { ?s ?p ?o. }
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- item-1 hasContent cvetana-krstev.
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- item-2 hasContent ranka-stankovic.
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- item-3 hasContent dusko-vitas.
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- item-4 hasContent ivan-obradovic.
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- 671 creator daniel-sonntag.
- 671 creator massimo-romanelli.
- 671 creator renata-dividino.
- 671 type InProceedings.
- 671 label "Semiotic-based Ontology Evaluation Tool (S-OntoEval)".
- 671 sameAs 671.
- 671 abstract "The objective of the Semiotic-based Ontology Evaluation Tool (S-OntoEval) is to evaluate and propose improvements to a given ontological model. The evaluation aims at assessing the quality of the ontology by drawing upon semiotic theory, taking several metrics into consideration for assessing the syntactic, semantic, and pragmatic aspects of ontology quality. We consider an ontology to be a semiotic object and we identify three main types of semiotic ontology evaluation levels: the structural level, assessing the ontology syntax and formal semantics; the functional level, assessing the ontology cognitive semantics and; the usability-related level, assessing the ontology pragmatics. The Ontology Evaluation Tool implements metrics for each semiotic ontology level: on the structural level by making use of reasoner such as the RACER System and Pellet to check the logical consistency of our ontological model (TBoxes and ABoxes) and graph-theory measures such as Depth; on the functional level by making use of a task-based evaluation approach which measures the quality of the ontology based on the adequacy of the ontological model for a specific task; and on the usability-profiling level by applying a quantitative analysis of the amount of annotation. Other metrics can be easily integrated and added to the respective evaluation level. In this work, the Ontology Evaluation Tool is used to test and evaluate the SWIntO Ontology of the SmartWeb project.".
- 671 hasAuthorList authorList.
- 671 hasTopic Linguistics.
- 671 isPartOf proceedings.
- 671 keyword "Evaluation methodologies".
- 671 keyword "Ontologies".
- 671 keyword "Tools, systems, applications".
- 671 title "Semiotic-based Ontology Evaluation Tool (S-OntoEval)".
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- item-1 hasContent renata-dividino.
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- item-2 hasContent massimo-romanelli.
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- item-3 hasContent daniel-sonntag.
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- 674 creator beatrice-alex.
- 674 type InProceedings.
- 674 label "Comparing Corpus-based to Web-based Lookup Techniques for Automatic English Inclusion Detection".
- 674 sameAs 674.
- 674 abstract "The influence of English as a global language continues to grow to an extent that its words and expressions permeate the original forms of other languages. This paper evaluates a modular Web-based sub-component of an existing English inclusion classifier and compares it to a corpus-based lookup technique. Both approaches are evaluated on a German gold standard data set. It is demonstrated to what extent the Web-based approach benefits from the amount of data available online and the fact that this data is constantly updated.".
- 674 hasAuthorList authorList.
- 674 hasTopic Linguistics.
- 674 isPartOf proceedings.
- 674 keyword "Information Extraction, Information Retrieval".
- 674 keyword "Multilinguality".
- 674 keyword "Tools, systems, applications".
- 674 title "Comparing Corpus-based to Web-based Lookup Techniques for Automatic English Inclusion Detection".
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- item-1 type ListItem.
- item-1 hasContent beatrice-alex.
- 676 creator laura-hasler.
- 676 type InProceedings.
- 676 label "Centering Theory for Evaluation of Coherence in Computer-Aided Summaries".
- 676 sameAs 676.
- 676 abstract "This paper investigates a new evaluation method for assessing the coherence of computer-aided summaries, justified by the inappropriacy of existing evaluation methods for this task. It develops a metric for Centering Theory (CT), a theory of local coherence and salience, to measure coherence in pairs of extracts and abstracts produced in a computer-aided summarisation environment. 100 news text summaries (50 pairs of extracts and their corresponding abstracts) are analysed using CT and the metric is applied to obtain a score for each summary; the summary with the higher score out of a pair is considered more coherent. Human judgement is also obtained to allow a comparison with the CT evaluation to assess the validity of the development of CT as a useful evaluation metric in computer-aided summarisation.".
- 676 hasAuthorList authorList.
- 676 hasTopic Linguistics.
- 676 isPartOf proceedings.
- 676 keyword "Discourse".
- 676 keyword "Evaluation methodologies".
- 676 keyword "Summarisation".
- 676 title "Centering Theory for Evaluation of Coherence in Computer-Aided Summaries".
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- item-1 hasContent laura-hasler.
- 677 creator kay-peterson.
- 677 creator kazuaki-maeda.
- 677 creator mark-przybocki.
- 677 creator stephanie-strassel.
- 677 creator zhiyi-song.
- 677 type InProceedings.
- 677 label "Linguistic Resources and Evaluation Techniques for Evaluation of Cross-Document Automatic Content Extraction".
- 677 sameAs 677.
- 677 abstract "The NIST Automatic Content Extraction (ACE) Evaluation expands its focus in 2008 to encompass the challenge of cross-document and cross-language global integration and reconciliation of information. While past ACE evaluations have been limited to local (within-document) detection and disambiguation of entities, relations and events, the current evaluation adds global (cross-document and cross-language) entity disambiguation tasks for Arabic and English. This paper presents the 2008 ACE XDoc evaluation task and associated infrastructure. We describe the linguistic resources created by LDC to support the evaluation, focusing on new approaches required for data selection, data processing, annotation task definitions and annotation software, and we conclude with a discussion of the metrics developed by NIST to support the evaluation.".
- 677 hasAuthorList authorList.
- 677 hasTopic Linguistics.
- 677 isPartOf proceedings.
- 677 keyword "Corpus (creation, annotation, etc.)".
- 677 keyword "Evaluation methodologies".
- 677 keyword "Information Extraction, Information Retrieval".
- 677 title "Linguistic Resources and Evaluation Techniques for Evaluation of Cross-Document Automatic Content Extraction".
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