Relation extraction is a subtask of information extraction where semantic relationships are
extracted from natural language text and then classified. In essence, it allows us to acquire …

Background Fulfilling the vision of Semantic Web requires an accurate data model for
organizing knowledge and sharing common understanding of the domain. Fitting this …

Distantly supervised relation extraction employs the alignment of unstructured corpora with
knowledge bases to automatically generate labeled data. This method, however, often …

FREEBASE contains entities and relation information but is highly incomplete. Relevant
information is ubiquitous in web text, but extraction deems challenging. We present JEDI, an …

REPEL'den önemli ölçüde daha iyi performans gösterir. Deneysel testlerde yaklasımımız
genellikle her iki dil için de REPEL'den daha iyi sonuçlar verir. Ingilizce testi için, az sayıda …

Relation extraction (RE) is concerned with developing methods and models that
automatically detect and retrieve relational information from unstructured data. It is crucial to …

The need for using English at Russian universities has increased. It makes the ability to write
good quality academic texts a necessary skill. Despite the existence of various types of …

Research on information extraction (IE) from texts has attracted much attention for at least
the past two decades. This is not surprising given its significance for applications such as …

Одним из способов извлечения информации из текстов является использование
шаблонов, основанных на лексических и синтаксических особенностях текста. Ручная …

The exponential growth of unstructured data available in the biomedical literature and
electronic health records requires powerful technologies and novel architectures. The …