Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision (P19-1)
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| Challenge: | Lack of labeled training data is a major bottleneck for aspect and opinion term extraction . et al., 2004: aspect and opinions are of particular importance for opinion mining . |
| Approach: | They propose to automatically mine extraction rules from existing training examples based on dependency parsing results . they then apply the mined rules to label auxiliary data to train a neural model . |
| Outcome: | The proposed algorithm can learn from human annotated data and human annnotated auxiliary data. |
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From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction (2022.lrec-1)
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Robert Vacareanu, Marco A. Valenzuela-Escárcega, George Caique Gouveia Barbosa, Rebecca Sharp, Gustave Hahn-Powell, Mihai Surdeanu
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