Skip-Thought Memory Networks

@article{Caballero2015SkipThoughtMN,
  title={Skip-Thought Memory Networks},
  author={Ethan Caballero},
  journal={CoRR},
  year={2015},
  volume={abs/1511.06420}
}
Question Answering (QA) is fundamental to natural language processing in that most nlp problems can be phrased as QA (Kumar et al., 2015). Current weakly supervised memory network models that have been proposed so far struggle at answering questions that involve relations among multiple entities (such as face-book's bAbi qa5-three-arg-relations in (Weston et al., 2015)). To address this problem of learning multi-argument multi-hop semantic relations for the purpose of QA, we propose a method… CONTINUE READING
Tweets
This paper has been referenced on Twitter 4 times. VIEW TWEETS

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…