Name
Abstract | ||
|---|---|---|
Usually a metaphor is encoded with rich cultural connotation, which signifies that culture plays a key factor in truly comprehending a metaphorically-used utterance. Given that, we developed a culture-related hierarchical semantic model to perform metaphor comprehension. Based on the character of a metaphor, to better represent context and background knowledge, we embedded word-level, attribute-level, perception-level, and context-level information into the model. Moreover, in the attribute-level, a culture mapping is developed to better use cultural information. We use a random walk algorithm to search for the most reasonable comprehension results. The model was tested in a nominal Chinese metaphor corpus. The results show the effectiveness of the model and demonstrate its advantages in understanding cultural metaphors. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11063-020-10227-6 | Neural Processing Letters |
Keywords | DocType | Volume |
Cultural semantics, Metaphor comprehension, Hierarchical model | Journal | 51 |
Issue | ISSN | Citations |
3 | 1370-4621 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chang Su | 1 | 6 | 3.20 |
| Ying Peng | 2 | 0 | 1.35 |
| Shuman Huang | 3 | 0 | 0.34 |
| Yijiang Chen | 4 | 3 | 2.11 |