Complex Structure Leads to Overfitting:A Structure Regularization Decoding Method for Natural Language Processing
Table 2: Text Chunking: comparing with previous work. Shen and Sarkar (2005) also achieve 95.23%, but their result is based on noun phrase chunking. However, our result is based on all phrase chunking, which has more tags to predict and is more difficult.
['Model', 'F1']
We achieve the state-of-the-art in all-phrase chunking. However, they conduct experiments in noun phrase chunking (NP-chunking). All phrase chunking contains much more tags than NP-chunking, which is more difficult.