Discourse Representation Parsing for Sentences and Documents
Jiangming Liu, Shay B. Cohen, Mirella Lapata · 2019
We introduce a novel semantic parsing task based on Discourse Representation Theory (DRT; Kamp and Reyle 1993).Our model operates over Discourse Representation Tree Structures which we formally define for sentences and documents.We present a general framework for parsing discourse structures of arbitrary length and granularity.We achieve this with a neural model equipped with a supervised hierarchical attention mechanism and a linguistically-motivated copy strategy.Experimental results on sentence-and documentlevel benchmarks show that our model outperforms competitive baselines by a wide margin.