Generating automatic pseudo-entailments from AMR parses
نویسندگان
چکیده
We explore how to generate a textual inference dataset from Abstract Meaning Representations (AMR) (Banarescu et al., 2013). Various aspects of AMR make it problematic to automatically derive inference patterns. Therefore, our generated dataset instead answers questions regarding the relation between entities and actions in sentences. We refer to these answers as pseudo-entailments. From this dataset, it is possible to then extract entailments from sentences.
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تاریخ انتشار 2017