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.
展开▼
机译:f3任意参数的“ g”数字实施解码程序的加法函数结构(Σ CD Sub>)[ 1,2 Sup> S g Sub> h1 Sup>] f(2 n Sup>)和[ 1,2 Sup> S g Sub> h2 Sup>] f三元表示法f(+ 1,0,-1)和双逻辑微分d 1,2 Sub>的算术公称(2 n Sup>)位置格式“额外代码RU” / dn→f 1,2 Sub>( + Sup>←↓- Sub>) d / dn Sub>“水平”活动参数2“并删除“级别1”中的活动逻辑“ +1”,“-1”→“ 0”(俄罗斯逻辑版本)