Papers by Yefei Teng
Argumentation-Driven Evidence Association in Criminal Cases (2021.findings-emnlp)
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| Challenge: | Existing evidence association methods focus on extracting rich semantic representation and then calculate cosine distance between text representations. |
| Approach: | They propose an argumentation-driven supervised learning method to calculate the distance between evidence pairs for the following evidence association step. |
| Outcome: | The proposed method can be used to calculate distance between evidence pairs on a real-world dataset. |