Systematic comparison of neural architectures and training approaches for open information extraction
The goal of open information extraction (OIE) is to extract facts from natural language text, and to represent them as structured triples of the form (subject, predicate, object). For example, given the sentence »Beethoven composed the Ode to Joy.«, we are expected to extract the triple (Beethoven,...
मुख्य लेखकों: | , , , |
---|---|
स्वरूप: | Conference item |
भाषा: | English |
प्रकाशित: |
Association for Computational Linguistics
2020
|