Furthermore, other work using Sent2vec have shown the capabilities of the Sent2Vec representations to capture features that are suited to various NLP tasks where semantics is involved (e.g., paraphrase detection and semantic relatedness ).
we can assume that the Sent2Vec distributed representation is also carrying information regarding its context (without the need to explicitly access it).