# SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge

arXiv: https://arxiv.org/abs/2012.00555 · HTML: https://mlsanity.com/paper/2012.00555/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Dec 2020.

## Built on by (most cited first, 2 of 2)

- [Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020](https://mlsanity.com/paper/2109.06714/) (2021)
- [Type Prediction Systems](https://mlsanity.com/paper/2104.01207/) (2021)

## Abstract (arXiv)

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).