Refine
Year of publication
Document Type
- Conference Proceeding (75)
- Part of a Book (29)
- Article (14)
- Book (6)
- Other (3)
- Doctoral Thesis (2)
- Working Paper (2)
- Image (1)
- Master's Thesis (1)
- Part of Periodical (1)
Language
- English (98)
- German (37)
- Multiple languages (1)
Has Fulltext
- yes (136)
Keywords
- Computerlinguistik (136) (remove)
Publicationstate
- Veröffentlichungsversion (136) (remove)
Reviewstate
Publisher
- Association for Computational Linguistics (20)
- European Language Resources Association (8)
- de Gruyter (8)
- LiU Electronic Press (6)
- Gesellschaft für Sprachtechnologie und Computerlinguistik (5)
- European Language Resources Association (ELRA) (4)
- Institut für Deutsche Sprache (4)
- CLARIN (3)
- Linköping University Electronic Press (3)
- Narr (3)
Die Darstellbarkeit lexikalischen Wissens – am Beispiel kommunikativer Ausdrücke des Deutschen
(1995)
New KARL (Knowledge Acquisition and Representation Language) allows to specify all parts of a problem-solving method (PSM). It is a formal language with a well-defined semantics and thus allows to represent PSMs precisely and unambiguously yet abstracting from implementation detail. In this paper it is shown how the language KARL has been modified and extended to New KARL to better meet the needs for the representation of PSMs. Based on a conceptual structure of PSMs new language primitives are introduced for KARL to specify such a conceptual structure and to support the configuration of methods. An important goal for this extension was to preserve three important properties of KARL: to be (i) a conceptual, (ii) a formal, and (iii) an executable language.
Der Beitrag beschreibt Konzeption und Umsetzung der Anbindung von lexikalischen Datenbanken an das grammatische Informationssystem grammis, das seit Mitte 1993 am Institut für deutsche Sprache (IDS) entwickelt wird. Im Rahmen dieses Projekts wird erforscht, wie grammatisches Wissen mit moderner Computertechnik anschaulich dargestellt und verständlich vermittelt werden kann.
GAIS – GesprächsAnalytisches InformationsSystem. Ein hypermediales Lernsystem zur Gesprächsforschung
(2002)
Der vorliegende Beitrag stellt das vom BMBF geförderte Projekt GAIS (GesprächsAnalytisches InformationsSystem) vor, welches am Institut für Deutsche Sprache (IDS) entwickelt wird. GAIS ist ein hypermediales und didaktisch aufbereitetes Lernsystem zur Gesprächsanalyse für Einsteiger und Experten. Durch die unterschiedlichen Schwierigkeitsgrade ist es sowohl für Lehrende als auch für Lernende konzipiert. GAIS bietet eine Plattform, die Theorie, Praxis, Beispiele, Links, Anwendungen und Literatur zur Gesprächsforschung bündelt. Nutzer können diese Informationen rezipieren, ihre Kenntnisse überprüfen und mit technischen Werkzeugen eigene Analysen erstellen.
In this paper, we investigate the practical applicability of Co-Training for the task of building a classifier for reference resolution. We are concerned with the question if Co-Training can significantly reduce the amount of manual labeling work and still produce a classifier with an acceptable performance.
We present a light-weight tool for the annotation of linguistic data on multiple levels. It is based on the simplification of annotations to sets of markables having attributes and standing in certain relations to each other. We describe the main features of the tool, emphasizing its simplicity, customizability and versatility
Making CONCUR work
(2005)
The SGML feature CONCUR allowed for a document to be simultaneously marked up in multiple conflicting hierarchical tagsets but validated and interpreted in one tagset at a time. Alas, CONCUR was rarely implemented, and XML does not address the problem of conflicting hierarchies at all. The MuLaX document syntax is a non-XML syntax that enables multiply-encoded hierarchies by distinguishing different “layers” in the hierarchy by adding a layer ID as a prefix to the element names. The IDs tie all the elements in a single hierarchy together in an “annotation layer”. Extraction of a single annotation layer results in a well-formed XML document, and each annotation layer may be associated with an XML schema. The MuLaX processing model works on the nodes of one annotation layer at a time through Xpath-like navigation. CONCUR lives!
We present an implemented XML data model and a new, simplified query language for multi-level annotated corpora. The new query language involves automatic conversion of queries into the underlying, more complicated MMAXQL query language. It supports queries for sequential and hierarchical, but also associative (e.g. coreferential) relations. The simplified query language has been designed with non-expert users in mind.