Bogdan Sacaleanu

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This paper describes a Question Answering system which retrieves answers from structured data regarding cinemas and movies. The system represents the first prototype of a multilingual and multi-modal QA system for the domain of tourism. Based on specially designed domain ontology and using Textual Entailment as a means for semantic inference, the system can(More)
We present a framework for concept-based cross-language information retrieval in the medical domain, which is under development in the MUCHMORE project. Our approach is based on using the Unified Medical Language System (UMLS) as the primary source of semantic data. Documents and queries are annotated with multiple layers of linguistic information.(More)
Having being proposed for the fourth time, the QA at CLEF track has confirmed a still raising interest from the research community, recording a constant increase both in the number of participants and submissions. In 2006, two pilot tasks, WiQA and AVE, were proposed beside the main tasks, representing two promising experiments for the future of QA. Also in(More)
An important problematic issue with general semantic lexicons like WordNet or GermaNet is that they do not cover many terms and concepts specific to certain domains. Therefore, these resources need to be tuned to a specific domain at hand. This involves selecting those senses that are most appropriate for the domain, as well as extending the sense inventory(More)
Most approaches in sense disambiguation have been restricted to supervised training over manually annotated, non-technical, English corpora. Application to a new language or technical domain requires extensive manual annotation of appropriate training corpora. As this is both expensive and inefficient, unsupervised methods are to be preferred, specifically(More)
This report describes the work done by the QA group of the Language Technology Lab at DFKI, for the 2004 edition of the Cross-Language Evaluation Forum (CLEF). Based on the experience we obtained through our participation at QA@Clef-2003 with our initial cross-lingual QA prototype system BiQue (cf. [NS03]), the focus of the system extension for this year's(More)
The general aim of the third CLEF Multilingual Question Answering Track was to set up a common and replicable evaluation framework to test both monolingual and cross-language Question Answering (QA) systems that process queries and documents in several European languages. Nine target languages and ten source languages were exploited to enact 8 monolingual(More)
This report describes the work done by the QA group of the Language Technology Lab at DFKI for the 2005 edition of the Cross-Language Evaluation Forum (CLEF). We describe the extensions made to our 2004 QA@CLEF German/English QA–system, especially the question–type driven selection of answer strategies. Furthermore, details concerning the processing of(More)