relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4491/
title: Overview of VLSP RelEx shared task: A Data Challenge  for Semantic Relation Extraction from Vietnamese News
creator: Tran, Mai Vu
creator: Le, Hoang Quynh
subject: Electronics and Computer Engineering
description: This paper reports the overview of RelEx shared task for semantic relation extraction from Vietnamese News, which is hosted at the seventh annual workshop on Vietnamese Language and Speech Processing (VLSP 2020). This task focuses on classifying entity pairs in Vietnamese News text into four different, non-overlapping categories of semantic relations defined in advance. In order to generate a fair benchmark, we build a human-annotated dataset of 1,056 documents and 5,900 instances of semantic relations, collected from Vietnamese News in several domains. All models will be evaluated in terms of macro- and micro-averaged F1 scores, two typical evaluation metrics for semantic relation extraction problem.
date: 2020
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4491/1/VLSP_RelEx_summary.pdf
identifier:   Tran, Mai Vu and Le, Hoang Quynh  (2020) Overview of VLSP RelEx shared task: A Data Challenge for Semantic Relation Extraction from Vietnamese News.  In: VLSP 2020.