eprintid: 4491
rev_number: 7
eprint_status: archive
userid: 383
dir: disk0/00/00/44/91
datestamp: 2021-06-20 05:06:54
lastmod: 2021-06-20 05:06:54
status_changed: 2021-06-20 05:06:54
type: conference_item
metadata_visibility: show
creators_name: Tran, Mai Vu
creators_name: Le, Hoang Quynh
creators_id: vutm@vnu.edu.vn
creators_id: lhquynh@vnu.edu.vn
title: Overview of VLSP RelEx shared task: A Data Challenge
for Semantic Relation Extraction from Vietnamese News
ispublished: pub
subjects: ElectronicsandComputerEngineering
divisions: fac_fit
abstract: 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
date_type: published
full_text_status: public
pres_type: paper
event_title: VLSP 2020
event_type: workshop
refereed: TRUE
citation:   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.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4491/1/VLSP_RelEx_summary.pdf