+ Relation detection and linking identifies which predicate (relation) in the knowledge base a question is asking about, analogous to entity linking for the argument entities of an RDF triple.
+ Can be done in a way resembling neural entity linking models: computing similarity between the encoding of the question text and the encoding for each possible relation.

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+ An RDF triple is a 3-tuple, a predicate with two arguments, expressing
some simple relation or proposition.
+ Can be used to answer text questions like “When was Ada Lovelace
born?” or “Who was born in 1815?”.




Knowledge-Based QA from RDF triple stores (Graph-based QA)

Relation detection and linking

- Most of the algorithms in this scenario have a final stage which takes the top j
entities and the top k relations returned by the entity and relation inference steps,
searches the knowledge base for triples containing those entities and relations, and
then ranks those triples.
- Thus, results are heuristic.

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