Agnieszka Pluwak


Brand-Product Relation Extraction Using Heterogeneous Vector Space Representations
Arkadiusz Janz | Łukasz Kopociński | Maciej Piasecki | Agnieszka Pluwak
Proceedings of the Twelfth Language Resources and Evaluation Conference

Relation Extraction is a fundamental NLP task. In this paper we investigate the impact of underlying text representation on the performance of neural classification models in the task of Brand-Product relation extraction. We also present the methodology of preparing annotated textual corpora for this task and we provide valuable insight into the properties of Brand-Product relations existing in textual corpora. The problem is approached from a practical angle of applications Relation Extraction in facilitating commercial Internet monitoring.