Incremental Parsing with Minimal Features Using Bi-Directional LSTM
Table 2: Development and test set results for shift-reduce dependency parser on Penn Treebank using only (s1, s0, q0) positional features.
['Parser', 'Dev UAS', 'Dev LAS', 'Test UAS', 'Test LAS']
Despite the minimally designed feature representation, relatively few training iterations, and lack of pre-computed embeddings, the parser performed on par with state-of-the-art incremental dependency parsers, and slightly outperformed the state-of-the-art greedy parser.