Papers by Veselina Mironova
A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events (L18-1)
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Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig
| Challenge: | Using text streams to extract events pertaining to specific companies, routes and routes remains a challenge. |
| Approach: | They describe a corpus of German-language documents annotated with fine-grained geo-entities and standard named entity types. |
| Outcome: | The proposed corpus consists of newswire texts, twitter messages, and traffic reports from radio stations, police and railway companies. |
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products (L18-1)
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| Challenge: | Existing annotation guidelines for non-standard entity types and relations are lacking in news and forum texts. |
| Approach: | They propose a corpus study and an annotation schema for the annotation of product entity and company-product relation mentions. |
| Outcome: | The proposed annotation schema and guidelines are applied to the annotation of product entities and company-product relation mentions. |