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Knowledge graph (KG) embedding is to embed components of a KG including entities and relations into continuous vector spaces, so… Expand We consider the problem of embedding entities and relationships of multi-relational data in low-dimensional vector spaces. Our… Expand Distant supervision for relation extraction (RE) -- gathering training data by aligning a database of facts with text -- is an… Expand Several recent works on relation extraction have been applying the distant supervision paradigm: instead of relying on annotated… Expand Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled… Expand The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and… Expand Extracting semantic relationships between entities is challenging. This paper investigates the incorporation of diverse lexical… Expand We present a new kernel method for extracting semantic relations between entities in natural language text, based on a… Expand We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel… Expand We present an application of kernel methods to extracting relations from unstructured natural language sources. We introduce… Expand