The rate at which the field of internal medicine is advancing certainly necessitates a text that is both complete and up to date. While there are many such texts on the market, The Textbook of Internal Medicine seems to be a refreshing new addition to the ones available. Its depth of coverage and novel style will most certainly allow it to find a niche in an environment heavily populated by int...

the last years, parallel corpora have become an effective framework to study how well the linguistic phenomena and, more specifically, annotation schemata can be applied when importing the annotations from one language to the other(s). In the case of automatic import, the evaluation and correction are better to be performed by linguists using specific software. The paper proposes CLAU – a servi...

In this paper we describe a rule-based formalism for the analysis and labelling of texts segments. The rules are contextual rewriting rules with a restricted form of negation. They allow to underspecify text segments not considered relevant to a given task and to base decisions upon context. A parser for these rules is presented and consistence and completeness issues are discussed. Some result...

We present a new query language for information retrieval in XML documents and discuss its combination with information extraction methods. XIRQL is an XML query language which implements IR-related features such as weighting and ranking, relevance-oriented search, datatypes with vague predicates, and structural relativism. For information extracted from texts, XIRQL can rank records based on u...

The automatic detection of definitions in legal texts has mainly been considered from the perspective of legal information retrieval so far. In this paper, we demonstrate that the same techniques can also be employed for the purpose of a domain-specific automated style checking of draft laws. We report on the automatic identification of legal definitions in a large corpus of Swiss laws, and we ...

Plagiarism detection systems are known for years in the university community. However, most of the existing detectors for the natural language texts use rather simple comparison methods that make the instances of plagiarism easy to hide. The software, designed for plagiarism detection in computer programs, utilizes far more advanced techniques. We propose a method, which adds functionalities si...

This paper studies the abstractive multi-document summarization for event-oriented news texts through event information extraction and abstract representation. Fine-grained event mentions and semantic relations between them are extracted to build a unified and connected event semantic link network, an abstract representation of source texts. A network reduction algorithm is proposed to summariz...

This paper examines nongoal oriented transactions with texts in order to investigate the information encounter in the context of daily living. Findings are reported from a larger research project based on intensive interviews with 194 committed readers who read for pleasure. The paper analyses interview responses that illuminate two aspects of the readers' experience of reading for pleasure: (1...