CCGbank is a translation of the Penn Treebank into a corpus of Combinatory Categorial Grammar derivations. It pairs syntactic derivations with sets of word-word dependencies which approximate the underlying predicate-argument structure.
The dataset contains 99.44% of the sentences in the Penn Treebank, for which it corrects a number of inconsistencies and errors in the original annotation.
Source: CCGbank
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| CCG Supertagging | Heterogeneous Dynamic Convolutions | Geometry-Aware Supertagging with Heterogeneous Dynamic … | 2022-03-23 |
| CCG Supertagging | NeST-CCG + BERT | Supertagging Combinatory Categorial Grammar with … | 2020-10-13 |
| CCG Supertagging | BiLSTM-LAN | Hierarchically-Refined Label Attention Network for … | 2019-08-23 |
| CCG Supertagging | CVT + Multi-task + Large | Semi-Supervised Sequence Modeling with Cross-View … | 2018-09-22 |
Recent papers with results on this dataset: