A Dynamic Window Neural Network for CCG Supertagging

  title={A Dynamic Window Neural Network for CCG Supertagging},
  author={Huijia Wu and Jiajun Zhang and Chengqing Zong},
Combinatory Category Grammar (CCG) supertagging is a task to assign lexical categories to each word in a sentence. Almost all previous methods use fixed context window sizes to encode input tokens. However, it is obvious that different tags usually rely on different context window sizes. This motivates us to build a supertagger with a dynamic window approach, which can be treated as an attention mechanism on the local contexts. We find that applying dropout on the dynamic filters is superior to… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 5 times over the past 90 days. VIEW TWEETS
4 Citations
38 References
Similar Papers

Similar Papers

Loading similar papers…