Maria Mateva


A System for Experiments with Dependency Parsers
Kiril Simov | Iliana Simova | Ginka Ivanova | Maria Mateva | Petya Osenova
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

In this paper we present a system for experimenting with combinations of dependency parsers. The system supports initial training of different parsing models, creation of parsebank(s) with these models, and different strategies for the construction of ensemble models aimed at improving the output of the individual models by voting. The system employs two algorithms for construction of dependency trees from several parses of the same sentence and several ways for ranking of the arcs in the resulting trees. We have performed experiments with state-of-the-art dependency parsers including MaltParser, MSTParser, TurboParser, and MATEParser, on the data from the Bulgarian treebank -- BulTreeBank. Our best result from these experiments is slightly better then the best result reported in the literature for this language.


Multilingual access to cultural heritage content on the Semantic Web
Dana Dannélls | Aarne Ranta | Ramona Enache | Mariana Damova | Maria Mateva
Proceedings of the 7th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities

MT Techniques in a Retrieval System of Semantically Enriched Patents
Meritxell Gonzalez | Maria Mateva | Ramona Enache | Cristina Espana-Bonet | Lluis Marquez | Borislav Popov | Aarne Ranta
Proceedings of Machine Translation Summit XIV: Posters