Semantic Context Path Labeling for Semantic Exploration of User Reviews
Salah Aı̈t-Mokhtar, Caroline E. Brun, Yves Hoppenot, Agnes Sandor · 2021
In this paper we present a prototype demonstrator showcasing a novel method to perform semantic exploration of user reviews.The system enables effective navigation in a rich contextual semantic schema with a large number of hierarchically structured classes indicating relevant information.In order to identify instances of the structured classes in the reviews, we defined a new Information Extraction task called Semantic Context Path (SCP) labeling, which simultaneously assigns types and semantic roles to entity mentions.Reviews can thus rapidly be explored based on the finegrained and structured semantic classes.As a proof-of-concept, we have implemented this system for reviews on Points-of-Interest, in English and Korean.