The AMR (Abstract Meaning Representation) formalism for representing meaning of natural language sentences puts emphasis on predicate-argument structure and was not designed to deal with scope and quantifiers. By extending AMR with indices for contexts and formulating constraints on these contexts, a formalism is derived that makes correct predictions for inferences involving negation and bound variables. The attractive core predicate-argument structure of AMR is preserved. The resulting framework is similar to the meaning representations of Discourse Representation Theory employed in the Parallel Meaning Bank.
|Title of host publication||Proceedings of the Second International Workshop on Designing Meaning Representations|
|Editors||Nianwen Xue, Johan Bos, William Croft, Jan Hajič, Chu-Ren Huang, Stephen Oepen, Martha Palmer, James Pustejovsky|
|Publisher||Association for Computational Linguistics (ACL)|
|Number of pages||8|
|Publication status||Published - 2020|