Multi-channel Reverse Dictionary Model
Table 2: Reverse dictionary performance with prior knowledge.
['Prior Knowlege None', '[BOLD] Seen Definition 16', '[BOLD] Seen Definition .20/.44/.71', '[BOLD] Seen Definition 310', '[BOLD] Unseen Definition 54', '[BOLD] Unseen Definition .09/.29/.58', '[BOLD] Unseen Definition 358', '[BOLD] Description 2.5', '[BOLD] Description .32/.64/.88', '[BOLD] Description 203']
In practical application of reverse dictionaries, extra information about target words in addition to descriptions may be known. For example, we may remember the initial letter of the word we forget, or the length of the target word is known in crossword game. In this subsection, we evaluate the performance of our model with the prior knowledge of target words, including POS tag, initial letter and word length. More specifically, we extract the words satisfying given prior knowledge from the top 1,000 results of our model, and then reevaluate the performance.