An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies
Table 3: Three most similar sentences retrieved by Typed DT-LSTM from the SICK test set for each query sentence. SDT is the score assigned by Dependency Tree-LSTM and STyped−DT is the score by the proposed Typed DT-LSTM.
['Query and retrieved sentences', '[ITALIC] SDT', '[ITALIC] STyped− [ITALIC] DT']
The DT-LSTM assigns the same score for the sentences, “The turtle is following the fish” and “The fish is following the turtle” because their dependency trees differ only in the edge labels of which the model is unaware. Typed DT-LSTM ’s scores show that the model has learned this difference.