Papers by Matt Cecil
Fact Checking Machine Generated Text with Dependency Trees (2022.emnlp-industry)
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| Challenge: | Recent work has noted the benefits of natural language text generated by NLG systems over fixed templates. |
| Approach: | They propose a method that checks factuality of input text based on structured knowledge patterns and dependency relations with respect to the input text. |
| Outcome: | The proposed technique outperforms state-of-the-art techniques in this special, but important case. |