Titlebook: KI 2004: Advances in Artificial Intelligence; 27th Annual German C Susanne Biundo,Thom Frühwirth,Günther Palm Conference proceedings 2004 S

Isthmus

Generation of Sentence Parse Trees Using Parts of Speechof speech (word categories) of words in the sentences play the key role for this purpose. The grammar formalism used is more general than most of the grammar induction methods proposed in the literature. The approach was tested for Turkish language using a corpus of more than 5,000 sentences and suc

ROOF

Application of Machine Learning Techniques to the Re-ranking of Search Resultsts. In this paper we present a system that allows a user to re-rank the results locally by augmenting a query with positive example pages. Since it is not always easy to come up with many example pages, our system aims to work with only a couple of positive training examples and without any negative

constitutional

A Pragmatics-First Approach to the Analysis and Generation of Dialogues pragmatics-first approach to specifying the meaning of utterances in terms of plans is presented. These plans are computed during a dialogue on the basis of information about the current situation that is updated continually. New contributions are integrated into a dialogue if they help in establis

Alopecia-Areata

Hybrid Natural Language Generation in a Spoken Language Dialog Systemve emerged as a de-facto standard. But still relatively few dialog systems make use of NLG techniques..In this paper, we discuss the output part of our spoken language dialog system by presenting an example scenario including dialog management, NLG, and speech synthesis. Our approach to hybrid NLG c

Vulvodynia

Error-Tolerant Finite-State Lookup for Trademark Searchibes a generic library for finite-state-based lexical lookup, originally designed for NLP-related applications, that can be adapted to application-specific error metrics. We show how this tool can be used for searching existing trademarks in a database, using orthographic and phonetic similarity. We

使更活躍

Mining Hierarchical Temporal Patterns in Multivariate Time Seriesnt in multivariate time series. The . is the accompanying framework to discover temporal knowledge based on this rule language. A semiotic hierarchy of temporal patterns, which are not a priori given, is built in a bottom up manner from static logical descriptions of multivariate time instants. We d

restrain

Using Behavioral Knowledge for Situated Prediction of Movementsacilitates not only the textual description of video evaluation results, but can also be used for the inverse task of generating synthetic image sequences from textual descriptions of dynamic scenes. Moreover, it is shown here that the behavioral knowledge representation within a cognitive vision sy

Cursory

Integration of Manual and Automatic Text Categorization. A Categorization Workbench for Text-Based Eification systems implement machine learning algorithms and need training samples. In commercial applications however, the automatic categorization appear to come up against limiting factors. For example, it turns out to be difficult to reduce the sample complexity without the categorization quality

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