Matches in ScholarlyData for { ?s ?p ?o. }
- 184 sameAs 184.
- 184 abstract "The goal of this paper is to describe how adjectives are encoded in Cornetto, a semantic lexical database for Dutch. Cornetto combines two existing lexical resources with different semantic organisation, i.e. Dutch Wordnet (DWN) with a synset organisation and Referentie Bestand Nederlands (RBN) with an organisation in Lexical Units. Both resources will be aligned and mapped on the formal ontology SUMO. In this paper, we will first present details of the description of adjectives in each of the the two resources. We will then address the problems that are encountered during alignment to the SUMO ontology which are greatly due to the fact that SUMO has never been tested for its adequacy with respect to adjectives. We contrasted SUMO with an existing semantic classification which resulted in a further refined and extended SUMO geared for the description of adjectives.".
- 184 hasAuthorList authorList.
- 184 hasTopic Linguistics.
- 184 isPartOf proceedings.
- 184 keyword "Lexicon, lexical database".
- 184 keyword "Ontologies".
- 184 title "Adjectives in the Dutch Semantic Lexical Database CORNETTO".
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- item-1 hasContent isa-maks.
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- item-2 hasContent piek-vossen.
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- item-3 hasContent roxane-segers.
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- item-4 hasContent hennie-van-der-vliet.
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- 185 creator antton-gurrutxaga.
- 185 creator eli-pociello.
- 185 creator igor-leturia.
- 185 creator nerea-areta.
- 185 type InProceedings.
- 185 label "Analysis and Performance of Morphological Query Expansion and Language-Filtering Words on Basque Web Searching".
- 185 sameAs 185.
- 185 abstract "Morphological query expansion and language-filtering words have proved to be valid methods when searching the web for content in Basque via APIs of commercial search engines, as the implementation of these methods in recent IR and web-as-corpus tools shows, but no real analysis has been carried out to ascertain the degree of improvement, apart from a comparison of recall and precision using a classical web search engine and measured in terms of hit counts. This paper deals with a more theoretical study that confirms the validity of the combination of both methods. We have measured the increase in recall obtained by morphological query expansion and the increase in precision and loss in recall produced by language-filtering-words, but not only by searching the web directly and looking at the hit counts which are not considered to be very reliable at best , but also using both a Basque web corpus and a classical lemmatised corpus, thus providing more exact quantitative results. Furthermore, we provide various corpora-extracted data to be used in the aforementioned methods, such as lists of the most frequent inflections and declinations (cases, persons, numbers, times, etc.) for each POS the most interesting word forms for a morphologically expanded query , or a list of the most used Basque words with their frequencies and document-frequencies the ones that should be used as language-filtering words .".
- 185 hasAuthorList authorList.
- 185 hasTopic Linguistics.
- 185 isPartOf proceedings.
- 185 keyword "Corpus (creation, annotation, etc.)".
- 185 keyword "Information Extraction, Information Retrieval".
- 185 keyword "Morphology".
- 185 title "Analysis and Performance of Morphological Query Expansion and Language-Filtering Words on Basque Web Searching".
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- item-1 hasContent igor-leturia.
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- item-2 hasContent antton-gurrutxaga.
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- item-3 hasContent nerea-areta.
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- 186 creator borislav-rizov.
- 186 creator svetla-koeva.
- 186 creator svetlozara-leseva.
- 186 type InProceedings.
- 186 label "Chooser: a Multi-Task Annotation Tool".
- 186 sameAs 186.
- 186 abstract "The paper presents a tool assisting manual annotation of linguistic data developed at the Department of Computational linguistics, IBL-BAS. Chooser is a general-purpose modular application for corpus annotation based on the principles of commonality and reusability of the created resources, language and theory independence, extendibility and user-friendliness. These features have been achieved through a powerful abstract architecture within the Model-View-Controller paradigm that is easily tailored to task-specific requirements and readily extendable to new applications. The tool is to a considerable extent independent of data format and representation and produces outputs that are largely consistent with existing standards. The annotated data are therefore reusable in tasks requiring different levels of annotation and are accessible to external applications. The tool incorporates edit functions, pass and arrangement strategies that facilitate annotators work. The relevant module produces tree-structured and graph-based representations in respective annotation modes. Another valuable feature of the application is concurrent access by multiple users and centralised storage of lexical resources underlying annotation schemata, as well as of annotations, including frequency of selection, updates in the lexical database, etc. Chooser has been successfully applied to a number of tasks: POS tagging, WS and syntactic annotation.".
- 186 hasAuthorList authorList.
- 186 hasTopic Linguistics.
- 186 isPartOf proceedings.
- 186 keyword "Corpus (creation, annotation, etc.)".
- 186 keyword "Tagging".
- 186 keyword "Tools, systems, applications".
- 186 title "Chooser: a Multi-Task Annotation Tool".
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- item-1 hasContent svetla-koeva.
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- item-2 hasContent borislav-rizov.
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- item-3 hasContent svetlozara-leseva.
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- 187 creator florian-goedde.
- 187 creator maria-wolters.
- 187 creator sebastian-moeller.
- 187 type InProceedings.
- 187 label "Corpus Analysis of Spoken Smart-Home Interactions with Older Users".