PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction
Table 3: Effects of information in dependency context.
['[BOLD] Information', '[BOLD] D1', '[BOLD] D2', '[BOLD] D3', '[BOLD] D4']
We also analyze the effects of POS tags and words along dependency paths in the dependency context on final results. From the table, we observe that both POS tags and words along dependency paths boost aspect term extraction, which indicates that lexical information can encode discriminative information for representations of dependency paths. Meanwhile, PoD obtains better results by adding both POS tags and words.