In this paper, it is argued that Critical Discourse Studies (CDS) should be extended to also include what may be called Critical Context Studies (CCS). After a summary of the new theory of context, defined in terms of special mental models in episodic memory, subjectively representing the ‘definition of the communicative situation’ by the participants, it is argued how a critical analysis of te...

Our summarization approach is based on the assumption that quality of the summary is influenced by a set of factors, dependent on lexical and grammatical features of text units selected and arranged while composing the summary. The system has been developed with taking into account six factors influencing the final quality: compliance with the genre "summary", relevance, focusing, compliance wi...

This paper explores the application of text mining to the problem of detecting protein functional sites in the biomedical literature, and specifically considers the task of identifying catalytic sites in that literature. We provide strong evidence for the need for text mining techniques that address residue-level protein function annotation through an analysis of two corpora in terms of their c...

This article describes the Heidelberg contribution to the CLEF 2011 QA4MRE task for German. We focus on the objective of not using any external resources, building a system that represents questions, answers and texts as formulae in propositional logic derived from dependency structure. Background knowledge is extracted from the background corpora using several knowledge extraction strategies. ...

In this paper an approach to primary business-media analysis for further information extraction is proposed. We consider business events representation by looking into part of speech (POS) distribution across tagged n-grams. Two Russian business-media corpora, Russian Business Consulting (RBC) and Commersant, are analyzed, and it is shown that they differ not only in style or themes coverage bu...

Geolocation prediction is vital to geospatial applications like localised search and local event detection. Predominately, social media geolocation models are based on full text data, including common words with no geospatial dimension (e.g. today) and noisy strings (tmrw), potentially hampering prediction and leading to slower/more memory-intensive models. In this paper, we focus on finding lo...

We describe a robust accurate domain-independent approach to statistical parsing incorporated into the new release of the ANLT toolkit, and publicly available as a research tool. The system has been used to parse many well known corpora in order to produce data for lexical acquisition efforts; it has also been used as a component in an open-domain question answering project. The performance of ...

BACKGROUND The ability to manage and leverage family history information in the electronic health record (EHR) is crucial to delivering high-quality clinical care. OBJECTIVES We aimed to evaluate existing standards in representing relative information, examine this information documented in EHRs, and develop a natural language processing (NLP) application to extract relative information from ...

We have carried out a series of coverage evaluations of diverse types of parsers using texts from several genres such as newspaper, religious, legal and biomedical texts. We compared the overall coverage of the evaluated parsers and analyzed the differences by text genre. The results indicate that the coverage typically drops several percentage points when parsers are faced with texts on genres...