Matches in ScholarlyData for { ?s ?p ?o. }
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- item-1 hasContent nasser-abouzakhar.
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- item-2 hasContent ben-allison.
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- item-3 hasContent louise-guthrie.
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- 830 creator gerard-de-melo.
- 830 creator gerhard-weikum.
- 830 type InProceedings.
- 830 label "Mapping Roget s Thesaurus and WordNet to French".
- 830 sameAs 830.
- 830 abstract "Roget s Thesaurus and WordNet are very widely used lexical reference works. We describe an automatic mapping procedure that effectively produces French translations of the terms in these two resources. Our approach to the challenging task of disambiguation is based on structural statistics as well as measures of semantic relatedness that are utilized to learn a classification model for associations between entries in the thesaurus and French terms taken from bilingual dictionaries. By building and applying such models, we have produced French versions of Roget s Thesaurus and WordNet with a considerable level of accuracy, which can be used for a variety of different purposes, by humans as well as in computational applications.".
- 830 hasAuthorList authorList.
- 830 hasTopic Linguistics.
- 830 isPartOf proceedings.
- 830 keyword "Lexicon, lexical database".
- 830 keyword "Multilinguality".
- 830 keyword "Word Sense Disambiguation".
- 830 title "Mapping Roget s Thesaurus and WordNet to French".
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- item-1 hasContent gerard-de-melo.
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- 831 creator daisuke-kawahara.
- 831 creator kiyotaka-uchimoto.
- 831 type InProceedings.
- 831 label "A Method for Automatically Constructing Case Frames for English".
- 831 sameAs 831.
- 831 abstract "Case frames are an important knowledge base for a variety of natural language processing (NLP) systems. For the practical use of these systems in the real world, wide-coverage case frames are required. In order to acquire such large-scale case frames, in this paper, we automatically compile case frames from a large corpus. The resultant case frames that are compiled from the English Gigaword corpus contain 9,300 verb entries. The case frames include most examples of normal usage, and are ready to be used in numerous NLP analyzers and applications.".
- 831 hasAuthorList authorList.
- 831 hasTopic Linguistics.
- 831 isPartOf proceedings.
- 831 keyword "Knowledge representation".
- 831 keyword "Lexicon, lexical database".
- 831 keyword "Syntax".
- 831 title "A Method for Automatically Constructing Case Frames for English".
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- item-1 hasContent daisuke-kawahara.
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- item-2 hasContent kiyotaka-uchimoto.
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- 832 creator deryle-lonsdale.
- 832 creator eric-ringger.
- 832 creator james-carroll.
- 832 creator kevin-seppi.
- 832 creator marc-carmen.
- 832 creator noel-ellison.
- 832 creator peter-mcclanahan.
- 832 creator robbie-haertel.
- 832 type InProceedings.
- 832 label "Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study".
- 832 sameAs 832.
- 832 abstract "Fixed, limited budgets often constrain the amount of expert annotation that can go into the construction of annotated corpora. Estimating the cost of annotation is the first step toward using annotation resources wisely. We present here a study of the cost of annotation. This study includes the participation of annotators at various skill levels and with varying backgrounds. Conducted over the web, the study consists of tests that simulate machine-assisted pre-annotation, requiring correction by the annotator rather than annotation from scratch. The study also includes tests representative of an annotation scenario involving Active Learning as it progresses from a naïve model to a knowledgeable model; in particular, annotators encounter pre-annotation of varying degrees of accuracy. The annotation interface lists tags considered likely by the annotation model in preference to other tags. We present the experimental parameters of the study and report both descriptive and inferential statistics on the results of the study. We conclude with a model for estimating the hourly cost of annotation for annotators of various skill levels. We also present models for two granularities of annotation: sentence at a time and word at a time.".
- 832 hasAuthorList authorList.
- 832 hasTopic Linguistics.
- 832 isPartOf proceedings.
- 832 keyword "Acquisition, Machine Learning".
- 832 keyword "Corpus (creation, annotation, etc.)".
- 832 keyword "Tagging".
- 832 title "Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study".
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- item-1 hasContent eric-ringger.
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- item-2 hasContent marc-carmen.
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- item-3 hasContent robbie-haertel.
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