The explosive growth of biomedical literature has created a rich source of knowledge, such
as that on protein-protein interactions (PPIs) and drug-drug interactions (DDIs), locked in …

Existing relation classification methods that rely on distant supervision assume that a bag of
sentences mentioning an entity pair are all describing a relation for the entity pair. Such …

We study the application of word embeddings to generate semantic representations for the
domain adaptation problem of relation extraction (RE) in the tree kernelbased method. We …

Domain-specific relation extraction requires training data for supervised learning models,
and thus, significant labeling effort. Distant supervision is often leveraged for creating large …

One embodiment provides a method for on-demand relation extraction from unstructured
text that includes obtaining a text corpus of domain related unstructured text …

Training relation extractors for the purpose of automated knowledge base population
requires the availability of sufficient training data. The amount of manual labeling can be …

Distant supervision (DS) is an important paradigm for automatically extracting relations. It
utilizes existing knowledge base to collect examples for the relation we intend to extract, and …

Being able to find relevant information about prominent entities quickly is the main reason to
use a search engine. However, with large quantities of information on the World Wide Web …

Creating and curating knowledge resources has been a paramount activity in the biomedical
domain. In recent years, automated methods for knowledge base construction have …

The great success of supervised learning has initiated a paradigm shift from building a
deterministic software system to a probabilistic artificial intelligent system throughout the …