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- 728 creator fabio-rinaldi.
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- 728 type InProceedings.
- 728 label "Dependency-Based Relation Mining for Biomedical Literature".
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- 728 abstract "We describe techniques for the automatic detection of relationships among domain entities (e.g. genes, proteins, diseases) mentioned in the biomedical literature. Our approach is based on the adaptive selection of candidate interactions sentences, which are then parsed using our own dependency parser. Specific syntax-based filters are used to limit the number of possible candidate interacting pairs. The approach has been implemented as a demonstrator over a corpus of 2000 richly annotated MedLine abstracts, and later tested by participation to a text mining competition. In both cases, the results obtained have proved the adequacy of the proposed approach to the task of interaction detection.".
- 728 hasAuthorList authorList.
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- 728 keyword "Text mining".
- 728 title "Dependency-Based Relation Mining for Biomedical Literature".
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- 729 creator caren-brinckmann.
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- 729 type InProceedings.
- 729 label "memasysco: XML schema based metadata management system for speech corpora".
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- 729 abstract "The metadata management system for speech corpora memasysco has been developed at the Institut für Deutsche Sprache (IDS) and is applied for the first time to document the speech corpus German Today . memasysco is based on a data model for the documentation of speech corpora and contains two generic XML schemas that drive data capture, XML native database storage, dynamic publishing, and information retrieval. The development of memasysco s information architecture was mainly based on the ISLE MetaData Initiative (IMDI) guidelines for publishing metadata of linguistic resources. However, since we also have to support the corpus management process in research projects at the IDS, we need a finer atomic granularity for some documentation components as well as more restrictive categories to ensure data integrity. The XML metadata of different speech corpus projects are centrally validated and natively stored in an Oracle XML database. The extension of the system to the management of annotations of audio and video signals (e.g. orthographic and phonetic transcriptions) is planned for the near future.".
- 729 hasAuthorList authorList.
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- 729 keyword "Metadata".
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- 729 title "memasysco: XML schema based metadata management system for speech corpora".
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