A Probabilistic Framework for Learning Domain SpecificHierarchical Word Embeddings
Table 5: Accuracy of detecting the domain given the top most deviating words for different domain levels.
['Domain Levels', '#Pairs', 'Accuracy']
We evaluate on 1063 such pairs and ask 10 workers to evaluate each pair. As anticipated, we observe that it is easier to distinguish between more heterogeneous nodes (level 1 nodes or level 2 nodes with different parents) compared to closely related ones(level 2 nodes with same parent). Analyzing the mistakes made by workers, we realize that some of the finer domains, are indeed harder to distinguish from word usage as they are similar in nature (e.g. Kitchen/Bakeware vs. Kitchen/utilities) or are overlapping (e.g. Electronics/Computer accessories vs. Electronics/Headphones).