Matches in ScholarlyData for { ?s ?p ?o. }
- 273 creator diana-maynard.
- 273 creator wim-peters.
- 273 creator yaoyong-li.
- 273 type InProceedings.
- 273 label "Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection".
- 273 sameAs 273.
- 273 abstract "In this paper, we discuss methods of measuring the performance of ontology-based information extraction systems. We focus particularly on the Balanced Distance Metric (BDM), a new metric we have proposed which aims to take into account the more flexible nature of ontologically-based applications. We first examine why traditional Precision and Recall metrics, as used for flat information extraction tasks, are inadequate when dealing with ontologies. We then describe the Balanced Distance Metric (BDM) which takes ontological similarity into account. Finally, we discuss a range of experiments designed to test the accuracy and usefulness of the BDM when compared with traditional metrics and with a standard distance-based metric.".
- 273 hasAuthorList authorList.
- 273 hasTopic Linguistics.
- 273 isPartOf proceedings.
- 273 keyword "Information Extraction, Information Retrieval".
- 273 keyword "Named Entity recognition".
- 273 title "Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection".
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- item-1 hasContent diana-maynard.
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- 274 creator aitor-soroa.
- 274 creator gregorio-hernandez.
- 274 creator inaki-alegria.
- 274 creator klara-ceberio.
- 274 creator nerea-ezeiza.
- 274 type InProceedings.
- 274 label "Spelling Correction: from Two-Level Morphology to Open Source".
- 274 sameAs 274.
- 274 abstract "Basque is a highly inflected and agglutinative language (Alegria et al., 1996). Two-level morphology has been applied successfully to this kind of languages and there are two-level based descriptions for very different languages. After doing the morphological description for a language, it is easy to develop a spelling checker/corrector for this language. However, what happens if we want to use the speller in the free world (OpenOffice, Mozilla, emacs, LaTeX, etc.)? Ispell and similar tools (aspell, hunspell, myspell) are the usual mechanisms for these purposes, but they do not fit the two-level model. In the absence of two-level morphology based mechanisms, an automatic conversion from two-level description to hunspell is described in this paper.".
- 274 hasAuthorList authorList.
- 274 hasTopic Linguistics.
- 274 isPartOf proceedings.
- 274 keyword "Authoring tools, proofing".
- 274 keyword "Morphology".
- 274 keyword "Tools, systems, applications".
- 274 title "Spelling Correction: from Two-Level Morphology to Open Source".
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- item-1 hasContent inaki-alegria.
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- item-2 hasContent klara-ceberio.
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- item-3 hasContent nerea-ezeiza.
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- item-4 hasContent aitor-soroa.
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- item-5 hasContent gregorio-hernandez.
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- 275 creator diana-mccarthy.
- 275 type InProceedings.
- 275 label "Lexical Substitution as a Framework for Multiword Evaluation".
- 275 sameAs 275.
- 275 abstract "In this paper we analyse data from the SemEval lexical substitution task in those cases where the annotators indicated that the target word was part of a phrase before substituting the target with a synonym. We classify the types of phrases that were provided in this way by the annotators in order to evaluate the utility of the method as a means of producing a gold-standard for multiword evaluation. Multiword evaluation is a difficult area because lexical resources are not complete and people s judgments on multiwords vary. Whilst we do not believe lexical substitution is necessarily a panacea for multiword evaluation, we do believe it is a useful methodology because the annotator is focused on the task of substitution. Following the analysis, we make some recommendations which would make the data easier to classify.".
- 275 hasAuthorList authorList.
- 275 hasTopic Linguistics.
- 275 isPartOf proceedings.
- 275 keyword "Evaluation methodologies".
- 275 keyword "Lexicon, lexical database".
- 275 keyword "MultiWord Expressions & Collocations".
- 275 title "Lexical Substitution as a Framework for Multiword Evaluation".
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- 276 creator ann-devitt.
- 276 creator khurshid-ahmad.
- 276 type InProceedings.
- 276 label "Sentiment Analysis and the Use of Extrinsic Datasets in Evaluation".
- 276 sameAs 276.
- 276 abstract "The field of automated sentiment analysis has emerged in recent years as an exciting challenge to the computational linguistics community. Research in the field investigates how emotion, bias, mood or affect is expressed in language and how this can be recognised and represented automatically. To date, the most successful applications have been in the classification of product reviews and editorials. This paper aims to open a discussion about alternative evaluation methodologies for sentiment analysis systems that broadens the scope of this new field to encompass existing work in other domains such as psychology and to exploit existing resources in diverse domains such as finance or medicine. We outline some interesting avenues for research which investigate the impact of affective text content on the human psyche and on external factors such as stock markets.".
- 276 hasAuthorList authorList.
- 276 hasTopic Linguistics.
- 276 isPartOf proceedings.
- 276 keyword "Document Classification, Text categorisation".
- 276 keyword "Emotions".