Chinese short text matching is a fundamental task in natural language processing. Existing approaches usually take characters or words as input tokens. They have two limitations: 1) Some are polysemous, and semantic information not fully utilized. 2) models suffer potential issues caused by word segmentation. Here we introduce HowNet an external knowledge base propose Linguistic Enhanced graph ...

Abstract We present xspells , a model-agnostic local approach for explaining the decisions of black box models in classification short texts. The explanations provided consist set exemplar sentences and counter-exemplar sentences. former are examples classified by with same label as text to explain. latter different (a form counter-factuals). Both close meaning explain, both meaningful – albeit...