anupmm
commented
3 years ago 1) Am not sure what the term sembanking means 2) "It seems likely that context appearing in prior sentences affects the parsing of subsequent ones." ... or even some prior sentence may be impacted by a subsequent sentence. 3) While this is good how do we go from this to abstract at a higher level for entire pragraphs, chapters etc.? 4) What kind of operations can we do with these representations? Maybe some form of summarization at the concept level.. or maybe maybe some form of logical reasoning 5) AMR is agnostic about how we might want to derive meanings from strings, or vice-versa. In translating sentences to AMR, we do not dictate a particular sequence of rule applications or provide alignments that reflect such rule sequences. This makes sembanking very fast, and it allows researchers to explore their own ideas about how strings are related to meanings. I think he just means that a given AMR can be converted back to a sentence in various forms. So the original sentence structure is lost.
Paper Notes: Abstract Meaning Representation for Sembanking · Exploring Artificial Intelligence
https://koustubhmoharir.github.io/ai/papers/2021/09/19/abstract-meaning-representation/