Search Results for author: Barbara Heinisch

Found 8 papers, 4 papers with code

Towards Learning Terminological Concept Systems from Multilingual Natural Language Text

1 code implementation 3rd Conference on Language, Data and Knowledge 2021 Lennart Wachowiak, Christian Lang, Barbara Heinisch, Dagmar Gromann

Terminological Concept Systems (TCS) provide a means of organizing, structuring and representing domain-specific multilingual information and are important to ensure terminological consistency in many tasks, such as translation and cross-border communication.

Relation Extraction Term Extraction +1

CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification

1 code implementation12 Dec 2020 Lennart Wachowiak, Christian Lang, Barbara Heinisch, Dagmar Gromann

We describe our submission to the CogALex-VI shared task on the identification of multilingual paradigmatic relations building on XLM-RoBERTa (XLM-R), a robustly optimized and multilingual BERT model.

Hypernym Discovery Multilingual text classification +3

Developing Language Resources with Citizen Linguistics in Austria -- A Case Study

no code implementations LREC 2020 Barbara Heinisch

Citizen linguistics can help to create language resources and annotate language resources, not only for the improvement of language technologies, such as machine translation but also for the advancement of linguistic research.

Machine Translation

The Austrian Language Resource Portal for the Use and Provision of Language Resources in a Language Variety by Public Administration -- a Showcase for Collaboration between Public Administration and a University

no code implementations LREC 2020 Barbara Heinisch, Vesna Lu{\v{s}}icky

Therefore, the Austrian Language Resource Portal stresses the importance of language resources specific to a language variety, thus paving the way for the re-use of variety-specific language data for human language technology, such as machine translation training, for the Austrian standard variety.

Machine Translation Translation

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