Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
In relation extraction, distant supervision seeks to extract relations between entities from text by using a knowledge base, such as Freebase, as a source of supervision. When a s...
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
In this paper, we present work on enhancing the basic data resource of a context-aware system. First, we introduce a supervised approach to extracting geographical relations on a ...