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- item-1 hasContent bogdan-babych.
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- item-2 hasContent anthony-hartley.
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- 543 creator julia-ritz.
- 543 creator michael-goetze.
- 543 creator stefanie-dipper.
- 543 type InProceedings.
- 543 label "Annotation of Information Structure: an Evaluation across different Types of Texts".
- 543 sameAs 543.
- 543 abstract "We report on the evaluation of information structural annotation according to the Linguistic Information Structure Annotation Guidelines (LISA, (Dipper et al., 2007)). The annotation scheme differentiates between the categories of information status, topic, and focus. It aims at being language-independent and has been applied to highly heterogeneous data: written and spoken evidence from typologically diverse languages. For the evaluation presented here, we focused on German texts of different types, both written texts and transcriptions of spoken language, and analyzed the annotation quantitatively and qualitatively.".
- 543 hasAuthorList authorList.
- 543 hasTopic Linguistics.
- 543 isPartOf proceedings.
- 543 keyword "Anaphora, Coreference".
- 543 keyword "Corpus (creation, annotation, etc.)".
- 543 keyword "Discourse".
- 543 title "Annotation of Information Structure: an Evaluation across different Types of Texts".
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- item-1 hasContent julia-ritz.
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- item-2 hasContent stefanie-dipper.
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- item-3 hasContent michael-goetze.
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- 544 creator laura-kassner.
- 544 creator michael-strube.
- 544 creator vivi-nastase.
- 544 type InProceedings.
- 544 label "Acquiring a Taxonomy from the German Wikipedia".
- 544 sameAs 544.
- 544 abstract "This paper presents the process of acquiring a large, domain independent, taxonomy from the German Wikipedia. We build upon a previously implemented platform that extracts a semantic network and taxonomy from the English version of the Wikipedia. We describe two accomplishments of our work: the semantic network for the German language in which isa links are identified and annotated, and an expansion of the platform for easy adaptation for a new language. We identify the platform s strengths and shortcomings, which stem from the scarcity of free processing resources for languages other than English. We show that the taxonomy induction process is highly reliable - evaluated against the German version of WordNet, GermaNet, the resource obtained shows an accuracy of 83.34%.".
- 544 hasAuthorList authorList.
- 544 hasTopic Linguistics.
- 544 isPartOf proceedings.
- 544 keyword "Multilinguality".
- 544 keyword "Ontologies".
- 544 keyword "Other".
- 544 title "Acquiring a Taxonomy from the German Wikipedia".
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- item-1 hasContent laura-kassner.
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- item-2 hasContent vivi-nastase.
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- item-3 hasContent michael-strube.
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- 545 creator horst-hering.
- 545 creator konrad-hofbauer.
- 545 creator stefan-petrik.
- 545 type InProceedings.
- 545 label "The ATCOSIM Corpus of Non-Prompted Clean Air Traffic Control Speech".
- 545 sameAs 545.
- 545 abstract "Air traffic control (ATC) is based on voice communication between pilots and controllers and uses a highly task and domain specific language. Due to this very reason, spoken language technologies for ATC require domain-specific corpora, of which only few exist to this day. The ATCOSIM Air Traffic Control Simulation Speech corpus is a speech database of non-prompted and clean ATC operator speech. It consists of ten hours of speech data, which were recorded in typical ATC control room conditions during ATC real-time simulations. The database includes orthographic transcriptions and additional information on speakers and recording sessions. The ATCOSIM corpus is publicly available and provided online free of charge. In this paper, we first give an overview of ATC related corpora and their shortcomings. We then show the difficulties in obtaining operational ATC speech recordings and propose the use of existing ATC real-time simulations. We describe the recording, transcription, production and validation process of the ATCOSIM corpus, and outline an application example for automatic speech recognition in the ATC domain.".
- 545 hasAuthorList authorList.
- 545 hasTopic Linguistics.
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- 545 keyword "Controlled languages".
- 545 keyword "Corpus (creation, annotation, etc.)".
- 545 keyword "Speech resource/database".
- 545 title "The ATCOSIM Corpus of Non-Prompted Clean Air Traffic Control Speech".
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- item-1 hasContent konrad-hofbauer.
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- item-2 hasContent stefan-petrik.
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- item-3 hasContent horst-hering.