Compositional Task-Oriented Parsing as Abstractive Question Answering. (arXiv:2205.02068v1 [cs.CL])

Web: http://arxiv.org/abs/2205.02068

Task-oriented parsing (TOP) aims to convert natural language into
machine-readable representations of specific tasks, such as setting an alarm. A
popular approach to TOP is to apply seq2seq models to generate linearized parse
trees. A more recent line of work argues that pretrained seq2seq models are
better at generating outputs that are themselves natural language, so they
replace linearized parse trees with canonical natural-language paraphrases that
can then be easily translated into parse trees, resulting in so-called
naturalized parsers. In …

arxiv parsing question answering