% % GENERATED FROM https://www.coli.uni-saarland.de % by : anonymous % IP : coli2006.lst.uni-saarland.de % at : Mon, 05 Feb 2024 15:42:17 +0100 GMT % % Selection : Author: Bogdan_Sacaleanu % @InProceedings{Buitelaar_Sacaleanu:2001, AUTHOR = {Buitelaar, Paul and Sacaleanu, Bogdan}, TITLE = {Ranking and Selecting Synsets by Domain Relevance}, YEAR = {2001}, BOOKTITLE = {Proceedings of the WordNet and Other Lexical Resources: Applications, Extensions and Customizations. NAACL Workshop}, ADDRESS = {Pittsburgh}, URL = {http://dfki.de/~paulb/lexres.pdf}, ABSTRACT = {The paper presents a novel method for domain specific sense assignment. The method determines the domain specific relevance of GermaNet synsets on the basis of the relevance of their constituent terms that co-occur within representative domain corpora. The approach is task independent and completely automatic. Experiments show results on three selected domains: business, soccer and medical.}, ANNOTE = {COLIURL : Buitelaar:2001:RSS.pdf} } @InProceedings{Buitelaar_Sacaleanu:2002, AUTHOR = {Buitelaar, Paul and Sacaleanu, Bogdan}, TITLE = {Extending Synsets with Medical Terms}, YEAR = {2002}, BOOKTITLE = {Proceedings of the 1st International WordNet Conference, January 21-25}, ADDRESS = {Mysore, India}, URL = {http://dfki.de/~paulb/gwa.pdf}, ABSTRACT = {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 with novel terms and novel senses that are specific to the domain. In this paper we focus on extending GermaNet synsets with domain specific terms, taking into account the domain relevance of senses (i.e. synsets).}, ANNOTE = {COLIURL : Buitelaar:2002:ESM.pdf} } @InProceedings{Vintar_et_al:2002, AUTHOR = {Vintar, Spela and Buitelaar, Paul and Ripplinger, Bärbel and Sacaleanu, Bogdan and Raileanu, Diana and Prescher, Detlef}, TITLE = {An Efficient and Flexible Format for Linguistic and Semantic Annotation}, YEAR = {2002}, BOOKTITLE = {Proceedings of the 3rd International Conference on Language Resources and Evaluation (LREC'02), May 29-31}, ADDRESS = {Las Palmas, Canary Islands, Spain}, URL = {http://dfki.de/~paulb/lrec2002.dtd.ps http://www.dfki.de/dfkibib/publications/docs/lrec2002.dtd.final.pdf}, ABSTRACT = {The paper describes an XML annotation format and tool developed within the MUCHMORE project. The annotation scheme was designed specifically for the purposes of Cross-Lingual Information Retrieval in the medical domain so as to allow both efficient and flexible access to layers of information. We use a parallel English-German corpus of medical abstracts and annotate it with linguistic information (tokenisation, part-of-speech tagging, lemmatisation and decomposition, phrase recognition, grammatical functions) as well as semantic information from various sources. The annotation of medical terms/concepts, semantic types and semantic relations is based on the Unified Medical Language System (UMLS). Additionally, we use EuroWordNet as a general-language resource in annotating word senses and to compare domain-specific and general language use. A major aim of the project is also to complement existing ontological resources by extracting new terms and new semantic relations. We present the annotation scheme, which is conceptually related to stand-off annotation, and describe our tool for automatic semantic annotation.}, ANNOTE = {COLIURL : Vintar:2002:EFF.pdf Vintar:2002:EFF.ps} } @Article{Volk_et_al:2002, AUTHOR = {Volk, Martin and Ripplinger, Bärbel and Vintar, Špela and Buitelaar, Paul and Raileanu, Diana and Sacaleanu, Bogdan}, TITLE = {Semantic Annotation for Concept-Based Cross-Language Medical Information Retrieval}, YEAR = {2002}, JOURNAL = {International Journal of Medical Informatics}, VOLUME = {67}, NUMBER = {1-3}, PAGES = {97-112}, URL = {http://dfki.de/~paulb/jmi.pdf}, ABSTRACT = {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. Linguistic processing includes part-of-speech tagging, morphological analysis, phrase recognition and the identification of medical terms and semantic relations between them. The paper describes experiments in monolingual and cross-language document retrieval, performed on a corpus of medical abstracts. Results show that linguistic processing, especially lemmatization and compound analysis for German, is a crucial step in achieving a good baseline performance. On the other hand, they show that semantic information, specifically the combined use of concepts and relations, increases the performance in monolingual and cross-language retrieval.}, ANNOTE = {COLIURL : Volk:2002:SAC.pdf} } @MastersThesis{Sacaleanu:2001, AUTHOR = {Sacaleanu, Bogdan}, TITLE = {Domain Specific Tuning and Extension of Lexical Semantic Resources}, YEAR = {2001}, ADDRESS = {Saarbrücken, Germany}, SCHOOL = {Computerlinguistik, Universität des Saarlandes}, TYPE = {Diplomarbeit} } @InProceedings{SaNeSp2008, AUTHOR = {Sacaleanu, Bogdan and Neumann, Günter and Spurk, Christian}, TITLE = {DFKI-LT at QA@CLEF 2008}, YEAR = {2008}, BOOKTITLE = {Working notes for the CLEF 2008 Workshop : 17-19 September, Aarhus, Denmark}, NOTE = {HU} } @PhdThesis{Sac2012, AUTHOR = {Sacaleanu, Bogdan}, TITLE = {Synthesis of listener vocalizations : towards interactive speech synthesis}, YEAR = {2012}, SCHOOL = {Universität des Saarlandes}, NOTE = {Volltext zu diesem Titel erhältlich in SciDok: urn:nbn:de:bsz:291-scidok-47820} } @InProceedings{SacNeu2012, AUTHOR = {Sacaleanu, Bogdan and Neumann, Günter}, TITLE = {An adaptive framework for named entity combination}, YEAR = {2012}, MONTH = {23-25 May}, BOOKTITLE = {Proceedings of the 8th International Conference on Language Resources and Evaluation}, PAGES = {1244-1249}, ADDRESS = {Paris}, ORGANIZATION = {ELRA}, NOTE = {HU} }