SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge
Artificial Intelligence
2020-12-02 v1 Computation and Language
Information Retrieval
Abstract
Each year the International Semantic Web Conference accepts a set of Semantic Web Challenges to establish competitions that will advance the state of the art solutions in any given problem domain. The SeMantic AnsweR Type prediction task (SMART) was part of ISWC 2020 challenges. Question type and answer type prediction can play a key role in knowledge base question answering systems providing insights that are helpful to generate correct queries or rank the answer candidates. More concretely, given a question in natural language, the task of SMART challenge is, to predict the answer type using a target ontology (e.g., DBpedia or Wikidata).
Cite
@article{arxiv.2012.00555,
title = {SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge},
author = {Nandana Mihindukulasooriya and Mohnish Dubey and Alfio Gliozzo and Jens Lehmann and Axel-Cyrille Ngonga Ngomo and Ricardo Usbeck},
journal= {arXiv preprint arXiv:2012.00555},
year = {2020}
}