Constantine D. Spyropoulos

Also published as: Constantine Spyropoulos


BOEMIE Ontology-Based Text Annotation Tool
Pavlina Fragkou | Georgios Petasis | Aris Theodorakos | Vangelis Karkaletsis | Constantine Spyropoulos
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

The huge amount of the available information in the Web creates the need of effective information extraction systems that are able to produce metadata that satisfy user’s information needs. The development of such systems, in the majority of cases, depends on the availability of an appropriately annotated corpus in order to learn extraction models. The production of such corpora can be significantly facilitated by annotation tools that are able to annotate, according to a defined ontology, not only named entities but most importantly relations between them. This paper describes the BOEMIE ontology-based annotation tool which is able to locate blocks of text that correspond to specific types of named entities, fill tables corresponding to ontology concepts with those named entities and link the filled tables based on relations defined in the domain ontology. Additionally, it can perform annotation of blocks of text that refer to the same topic. The tool has a user-friendly interface, supports automatic pre-annotation, annotation comparison as well as customization to other annotation schemata. The annotation tool has been used in a large scale annotation task involving 3,000 web pages regarding athletics. It has also been used in another annotation task involving 503 web pages with medical information, in different languages.


Demonstration of the CROSSMARC System
Vangelis Karkaletsis | Constantine D. Spyropoulos | Dimitris Souflis | Claire Grover | Ben Hachey | Maria Teresa Pazienza | Michele Vindigni | Emmanuel Cartier | Jose Coch
Companion Volume of the Proceedings of HLT-NAACL 2003 - Demonstrations


Ellogon: A New Text Engineering Platform
Georgios Petasis | Vangelis Karkaletsis | Georgios Paliouras | Ion Androutsopoulos | Constantine D. Spyropoulos
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

PatEdit: An Information Extraction Pattern Editor for Fast System Customization
Dimitra Farmakiotou | Vangelis Karkaletsis | Ioannis Koutsias | George Petasis | Constantine D. Spyropoulos
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)


Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems
Georgios Petasis | Frantz Vichot | Francis Wolinski | Georgios Paliouras | Vangelis Karkaletsis | Constantine D. Spyropoulos
Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics

Stacking Classifiers for Anti-Spam Filtering of E-Mail
Georgios Sakkis | Ion Androutsopoulos | Georgios Paliouras | Vangelis Karkaletsis | Constantine D. Spyropoulos | Panagiotis Stamatopoulos
Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing


The use of terminological knowledge bases in software localisation
Vangelis Karkaletsis | Constantine D. Spyropoulos | George A. Vouros
Third International EAMT Workshop: Machine Translation and the Lexicon

This paper describes the work that was undertaken in the Glossasoft project in the area of terminology management. Some of the draw-backs of existing terminology management systems are outlined and an alternative approach to maintaining terminological data is proposed. The approach which we advocate relies on knowledge-based representation techniques. These are used to model conceptual knowledge about the terms included in the database, general knowledge about the subject domain, application-specific knowledge, and - of course - language-specific terminological knowledge. We consider the multifunctionality of the proposed architecture to be one of its major advantages. To illustrate this, we outline how the knowledge representation scheme, which we suggest, could be drawn upon in message generation and machine-assisted translation.