Thesis Proposal: Mapping Natural Language to and from the Abstract Meaning Representation
نویسنده
چکیده
A key task in intelligent language processing is obtaining semantic representations that abstract away from surface lexical and syntactic decisions. The Abstract Meaning Representation (AMR) is one such representation, which represents the meaning of a sentence as labeled nodes in a graph (concepts) and labeled, directed edges between them (relations). A traditional problem of semantic representations is producing them from natural language as well as producing natural language from them, or in other words, mapping into and out of the representation. In this thesis proposal, I discuss methods and algorithms for mapping into and out of AMR, as well as an application of these techniques to the multi-lingual setting.
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