Ireul

A neural open information extraction system that understands knowledge expressed through natural language.

Exhaustive open information extraction (OIE)

Through multiple specifically designed neural networks and hypothesis searching algorithm, Ireul is able to utilize in-depth semantic features.

Multilingual with little resource

Through multiple specifically designed neural networks and hypothesis searching algorithm, Ireul is able to utilize in-depth semantic features and exhaustively extract all the potential combination of phrases that can form a piece of knowledge, which enables automatic knowledge base construction and numerous business intelligence applications.

No hard-coded rules, no semantic labeling, no dependency parsing, ...

Unlike traditional information extraction systems, Ireul discards many techniques that constrain the system’s capability of generalization, which in result gives Ireul advantage in processing interwound information, long-term dependency, and other complicated situations.

Products built upon Ireul

Also available in: 中文