Semantic Context Path Labeling for Semantic Exploration of User Reviews
Salah Aït-Mokhtar, Caroline Brun, Yves Hoppenot, Agnes Sandor
Abstract
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 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 rapidly be explored based on the fine-grained and structured semantic classes. As a proof-of-concept, we have implemented this system for reviews on Points-of-Interest, in English and Korean.
BibTeX
@inproceedings{ait-mokhtar-etal-2021-semantic,
title = "Semantic Context Path Labeling for Semantic Exploration of User Reviews",
author = {A{\"i}t-Mokhtar, Salah and
Brun, Caroline and
Hoppenot, Yves and
Sandor, Agnes},
editor = "Adel, Heike and
Shi, Shuming",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = nov,
year = "2021",
address = "Online and Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-demo.13/",
doi = "10.18653/v1/2021.emnlp-demo.13",
pages = "106--113"
}