Effective Inference for Generative Neural Parsing
Table 1: Development F1 scores using word-level search with various beam sizes k and two choices of word beam size kw.
['Beam Size  [ITALIC] k', '200', '400', '600', '800', '1000', '2000']
Development set results for word-level search with a variety of beam sizes and with kw We observe that performance in both cases increases steadily with beam size. Word-level search with kw=k/10 consistently outperforms search without a bottleneck at all beam sizes, indicating the utility of this simple diversity-inducing modification. The top result of 92.93 F1 is already quite strong compared to other single-model systems.