Matches in ScholarlyData for { ?s ?p ?o. }
- 699 abstract "We describe the creation of a corpus that supports a real-world hierarchical text categorization task in the domain of electronic rulemaking (eRulemaking). Features of the task and of the eRulemaking domain engender both a non-traditional text categorization corpus and a correspondingly difficult machine learning task. Interannotator agreement results are presented for a group of six annotators. We also briefly describe the results of experiments that apply standard and hierarchical text categorization techniques to the eRulemaking data sets. The corpus is the first in a series of related sentence-level text categorization corpora to be developed in the eRulemaking domain.".
- 699 hasAuthorList authorList.
- 699 hasTopic Linguistics.
- 699 isPartOf proceedings.
- 699 keyword "Corpus (creation, annotation, etc.)".
- 699 keyword "Document Classification, Text categorisation".
- 699 keyword "LR national/international projects, organizational/policy issues".
- 699 title "An eRulemaking Corpus: Identifying Substantive Issues in Public Comments".
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- item-1 hasContent claire-cardie.
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- item-2 hasContent cynthia-farina.
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- item-3 hasContent matt-rawding.
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- item-4 hasContent adil-aijaz.
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- 7 creator dennis-spohr.
- 7 type InProceedings.
- 7 label "A General Methodology for Mapping EuroWordNets to the Suggested Upper Merged Ontology".
- 7 sameAs 7.
- 7 abstract "This paper presents a general methodology to mapping EuroWordNets (Vossen, 1998) to the Suggested Upper Merged Ontology (SUMO; Niles and Pease (2001)), and we show its application to the French EuroWordNet. The process makes use of existing work on mapping Princeton WordNet (Fellbaum, 1998) to SUMO (Niles and Pease, 2003). After a general discussion of the usefulness of our approach, we provide details on the procedure of mapping individual EuroWordNet synsets to SUMO conceptual classes, and discuss issues arising from a fully automatic mapping. In addition to this, we present a quantitative analysis of the thus created semantic resource and discuss how the accuracy in determining the correct SUMO class for a particular EuroWordNet synset might be improved. Finally, we briefly hint at how such resources may be used, e.g. in order to extract selectional preferences of verbal predicates with respect to the ontological categories of their syntactic arguments.".
- 7 hasAuthorList authorList.
- 7 hasTopic Linguistics.
- 7 isPartOf proceedings.
- 7 keyword "Knowledge representation".
- 7 keyword "Multilinguality".
- 7 keyword "Ontologies".
- 7 title "A General Methodology for Mapping EuroWordNets to the Suggested Upper Merged Ontology".
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- item-1 hasContent dennis-spohr.
- 70 creator carlo-strapparava.
- 70 creator marco-guerini.
- 70 creator oliviero-stock.
- 70 type InProceedings.
- 70 label "Resources for Persuasion".
- 70 sameAs 70.
- 70 abstract "This paper presents resources and strategies for persuasive natural language processing. After the introduction of a specifically tagged corpus, some techniques for affective language processing and for persuasive lexicon extraction are provided together with prospective scenarios of application.".
- 70 hasAuthorList authorList.
- 70 hasTopic Linguistics.
- 70 isPartOf proceedings.
- 70 keyword "Corpus (creation, annotation, etc.)".
- 70 keyword "Emotions".
- 70 title "Resources for Persuasion".
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- item-1 hasContent marco-guerini.
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- item-2 hasContent carlo-strapparava.
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- 700 creator carmen-banea.
- 700 creator janyce-wiebe.
- 700 creator rada-mihalcea.
- 700 type InProceedings.
- 700 label "A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources".
- 700 sameAs 700.
- 700 abstract "This paper introduces a method for creating a subjectivity lexicon for languages with scarce resources. The method is able to build a subjectivity lexicon by using a small seed set of subjective words, an online dictionary, and a small raw corpus, coupled with a bootstrapping process that ranks new candidate words based on a similarity measure. Experiments performed with a rule-based sentence level subjectivity classifier show an 18% absolute improvement in F-measure as compared to previously proposed semi-supervised methods.".
- 700 hasAuthorList authorList.
- 700 hasTopic Linguistics.
- 700 isPartOf proceedings.
- 700 keyword "Lexicon, lexical database".
- 700 keyword "Multilinguality".
- 700 keyword "Other".
- 700 title "A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources".
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- item-1 hasContent carmen-banea.
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