Rezumat articol ediţie STUDIA UNIVERSITATIS BABEŞ-BOLYAI

În partea de jos este prezentat rezumatul articolului selectat. Pentru revenire la cuprinsul ediţiei din care face parte acest articol, se accesează linkul din titlu. Pentru vizualizarea tuturor articolelor din arhivă la care este autor/coautor unul din autorii de mai jos, se accesează linkul din numele autorului.

INTRODUCTION. The field of Information Extraction (IE) studies and creates techniques for turning the unstructured information present in natural language texts into structured data [7]. An important part of this process is coreference resolution, the task which identifies when different noun phrases refer to the same discourse entity in a text. Coreference resolution is a field which has been extensively researched for English (see [9] for a comprehensive overview of methods), but received less attention for other languages. This is due to the fact that the vast majority of the existing methods are based on machine learning and therefore require extensive annotated data.

Key words and phrases. coreference resolution, parallel corpus, machine learning.