Answering Product-related Questions with Heterogeneous Information (2020.aacl-main)
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| Challenge: | Existing product question answering methods only consider a single information source such as user reviews and/or require large amounts of labeled data. |
| Approach: | They propose a framework to exploit heterogeneous information including natural language text and attribute-value pairs from two information sources of the concerned product, namely product details and user reviews. |
| Outcome: | The proposed framework achieves superior performance over state-of-the-art models on a real-world dataset. |
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