Matches in ScholarlyData for { ?s ?p ?o. }
- 322 keyword "Corpus (creation, annotation, etc.)".
- 322 keyword "Emotions".
- 322 title "Coding Emotional Events in Audiovisual Corpora".
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- authorList hasFirstItem item-1.
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- item-1 type ListItem.
- item-1 hasContent laurence-devillers.
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- item-2 hasContent jean-claude-martin.
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- 323 creator marion-weller.
- 323 creator ulrich-heid.
- 323 type InProceedings.
- 323 label "Tools for Collocation Extraction: Preferences for Active vs. Passive".
- 323 sameAs 323.
- 323 abstract "We present and partially evaluate procedures for the extraction of noun+verb collocation candidates from German text corpora, along with their morphosyntactic preferences, especially for the active vs. passive voice. We start from tokenized, tagged, lemmatized and chunked text, and we use extraction patterns formulated in the CQP corpus query language. We discuss the results of a precision evaluation, on administrative texts from the European Union: we find a considerable amount of specialized collocations, as well as general ones and complex predicates; overall the precision is considerably higher than that of a statistical extractor used as a baseline.".
- 323 hasAuthorList authorList.
- 323 hasTopic Linguistics.
- 323 isPartOf proceedings.
- 323 keyword "Acquisition, Machine Learning".
- 323 keyword "Lexicon, lexical database".
- 323 keyword "MultiWord Expressions & Collocations".
- 323 title "Tools for Collocation Extraction: Preferences for Active vs. Passive".
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- item-1 hasContent ulrich-heid.
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- item-2 hasContent marion-weller.
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- 324 creator aris-theodorakos.
- 324 creator constantine-spyropoulos.
- 324 creator georgios-petasis.
- 324 creator pavlina-fragkou.
- 324 creator vangelis-karkaletsis.
- 324 type InProceedings.
- 324 label "BOEMIE Ontology-Based Text Annotation Tool".
- 324 sameAs 324.
- 324 abstract "The huge amount of the available information in the Web creates the need of effective information extraction systems that are able to produce metadata that satisfy user s information needs. The development of such systems, in the majority of cases, depends on the availability of an appropriately annotated corpus in order to learn extraction models. The production of such corpora can be significantly facilitated by annotation tools that are able to annotate, according to a defined ontology, not only named entities but most importantly relations between them. This paper describes the BOEMIE ontology-based annotation tool which is able to locate blocks of text that correspond to specific types of named entities, fill tables corresponding to ontology concepts with those named entities and link the filled tables based on relations defined in the domain ontology. Additionally, it can perform annotation of blocks of text that refer to the same topic. The tool has a user-friendly interface, supports automatic pre-annotation, annotation comparison as well as customization to other annotation schemata. The annotation tool has been used in a large scale annotation task involving 3,000 web pages regarding athletics. It has also been used in another annotation task involving 503 web pages with medical information, in different languages.".
- 324 hasAuthorList authorList.
- 324 hasTopic Linguistics.
- 324 isPartOf proceedings.
- 324 keyword "Corpus (creation, annotation, etc.)".
- 324 keyword "Information Extraction, Information Retrieval".
- 324 keyword "Semantic Web".
- 324 title "BOEMIE Ontology-Based Text Annotation Tool".
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- item-1 type ListItem.
- item-1 hasContent pavlina-fragkou.
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- item-2 hasContent georgios-petasis.
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- item-3 hasContent aris-theodorakos.
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- item-4 hasContent vangelis-karkaletsis.
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- item-5 hasContent constantine-spyropoulos.
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- 326 creator agnieszka-wagner.
- 326 creator daniel-sledzinski.
- 326 creator grazyna-demenko.
- 326 creator jerzy-ogorkiewicz.
- 326 creator katarzyna-klessa.
- 326 creator marek-lange.
- 326 creator natalia-cylwik.
- 326 creator stefan-grocholewski.
- 326 type InProceedings.
- 326 label "JURISDIC: Polish Speech Database for Taking Dictation of Legal Texts".
- 326 sameAs 326.
- 326 abstract "The paper provides an overview of the Polish Speech Database for taking dictation of legal texts, created for the purpose of LVCSR system for Polish. It presents background information about the design of the database and the requirements coming from its future uses. The applied method of the text corpora construction is presented as well as the database structure and recording scenarios. The most important details on the recording conditions and equipment are specified, followed by the description of the assessment methodology of recording quality, and the annotation specification and evaluation. Additionally, the paper contains current statistics from the database and the information about both the ongoing and planned stages of the database development process.".
- 326 hasAuthorList authorList.
- 326 hasTopic Linguistics.
- 326 isPartOf proceedings.
- 326 keyword "Speech recognition and understanding".
- 326 keyword "Speech resource/database".
- 326 title "JURISDIC: Polish Speech Database for Taking Dictation of Legal Texts".
- authorList type List.
- authorList hasFirstItem item-1.