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Hybrid robust deep and shallow semantic processing for creativity support in document production
(2004)
The research performed in the DeepThought project (http://www.project-deepthought.net) aims at demonstrating the potential of deep linguistic processing if added to existing shallow methods that ensure robustness. Classical information retrieval is extended by high precision concept indexing and relation detection. We use this approach to demonstrate the feasibility of three ambitious applications, one of which is a tool for creativity support in document production and collective brainstorming. This application is described in detail in this paper. Common to all three applications, and the basis for their development is a platform for integrated linguistic processing. This platform is based on a generic software architecture that combines multiple NLP components and on robust minimal recursive semantics (RMRS) as a uniform representation language.
Japanese is often taken to be strictly head-final in its syntax. In our work on a broad-coverage, precision implemented HPSG for Japanese, we have found that while this is generally true, there are nonetheless a few minor exceptions to the broad trend. In this paper, we describe the grammar engineering project, present the exceptions we have found, and conclude that this kind of phenomenon motivates on the one hand the HPSG type hierarchical approach which allows for the statement of both broad generalizations and exceptions to those generalizations and on the other hand the usefulness of grammar engineering as a means of testing linguistic hypotheses.
This demo abstract describes the SmartWeb Ontology-based Information Extraction System (SOBIE). A key feature of SOBIE is that all information is extracted and stored with respect to the SmartWeb ontology. In this way, other components of the systems, which use the same ontology, can access this information in a straightforward way. We will show how information extracted by SOBIE is visualized within its original context, thus enhancing the browsing experience of the end user.
We present a broad coverage Japanese grammar written in the HPSG formalism with MRS semantics. The grammar is created for use in real world applications, such that robustness and performance issues play an important role. It is connected to a POS tagging and word segmentation tool. This grammar is being developed in a multilingual context, requiring MRS structures that are easily comparable across languages.
Die Domäne in VERBMOBIL sind Terminaushandlungsdialoge. Für die Syntax bedeutet das zunächst, daß die Sytnax sich an gesprochener Sprache orientieren muß. Das beinhaltet Nullanaphern, Phrasen, die auf die Kommunikationssituation bezogen sind und Phrasen, die für geschriebene Sprache als nicht wohlgeformt bezeichnet werden. Weitergehend gibt es einige domänenspezifische syntaktische besonderheiten, wie zum Biepsiel die Realisierung von Zeitangaben.
Dialogue acts in Verbmobil 2
(1998)
This report describes the dialogue phases and the second edition dialogue acts which are used in the VERBMOBIL 2 project [...]. While in the first project phase the scenario was restricted to appointment scheduling dialogues, it has been extended to travel planning in the second phase with appointment scheduling being only a part of the new scenario.
Das Problem des Transfers in der maschinellen Übersetzung von Japanisch nach Englisch ist fehlende Information über Numerus und Definitheit im Japanischen, die für die Wahl der englischen Artikel und die Nomenmarkierung gebraucht wird. Obwohl dieses Problem signifikant ist, beschäftigt sich die Forschungsliteratur kaum damit. [...] Wir bsaieren unsere Untersuchungen auf experimentell erhobenen Daten aus einem Experiment über deutsch-japanische gedolmetschte Terminaushandlungsdialoge [...]. Auf diese Weise können Phänomene bestimmt werden, die für die Domäne von VERBMOBIL relevant sind. Wir sehen unser Vorgehen in Übereinstimmung mit dem 'Sublanguage'-Ansatz [...].
Eins der signifikanten Probleme in der maschinellen Übersetzung japanische in deutsche Sprache ist die fehlende Information und Definitheit im japanischen Analyse-Output. Eine effiziente Lösung dieses Problems ist es, die Suche nach der relevanten Information in den Transfer zu integrieren. Transferregeln werden mit Präferenzregeln und Default-Regeln kombiniert. Dadurch wird Information über lexikalische Restriktionen der Zielsprache, über die Domäne und über den Diskurs zugänglich.
In this paper we show an approach to the customization of GermaNet to the German HPSG grammar lexicon developed in the Verbmobil project. GermaNet has a broad coverage of the German base vocabulary and fine-grained semantic classification; while the HPSG grammar lexicon is comparatively small und has a coarse-grained semantic classification. In our approach, we have developed a mapping algorithm to relate the synsets in GermaNet with the semantic sorts in HPSG. The evaluation result shows that this approach is useful for the lexical extension of our deep grammar development to cope with real-world text understanding.