The latest work for Question and Answer problems is to use the Stanford Parse Tree. We build on prior develop a new method handle problem with Deep Contextualized Transformer manage some aberrant expressions. also conduct extensive evaluations of SQuAD SwDA dataset show significant improvement over QA classification industry needs. investigate impact different models accuracy efficiency answers...

The German question answering (QA) system IRSAW (formerly: InSicht) participated in QA@CLEF for the fifth time. IRSAW was introduced in 2007 by integrating the deep answer producer InSicht, several shallow answer producers, and a logical validator. InSicht builds on a deep QA approach: it transforms documents to semantic representations using a parser, draws inferences on semantic representatio...