Recently, deep learning methods provide an effective way of reducing the number of handcrafted features (Socher et al., 2012;Zeng et al., 2014).
these approaches still use lexical resources such as WordNet (Miller, 1995) or NLP systems like dependency parsers and NER to get high-level features.