One state-of-the-art model for semantic parsing is our recently introduced <cite>relaxed hybrid tree</cite> model <cite>(Lu, 2014)</cite> , which performs integrated lexicon acquisition and semantic parsing within a single framework utilizing efficient algorithms for training and inference. <cite>The model</cite> allows natural language phrases to be recursively mapped to semantic units, where certain long-distance dependencies can be captured. <cite>It</cite> relies on representations called <cite>relaxed hybrid trees</cite> that can jointly represent both the sentences and semantics. <cite>The model</cite> is essentially discriminative, and allows rich features to be incorporated.