Overview of the NLPCC2022 Shared Task on Speech Entity Linking

Ruoyu Song, Sijia Zhang, Xiaoyu Tian, Yuhang Guo*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we present an overview of the NLPCC 2022 Shared Task on Speech Entity Linking. This task aims to study entity linking methods for spoken languages. This speech entity linking task includes two tracks: Entity Recognition and Disambiguation (track 1), Entity Disambiguation-Only (track 2). 20 teams registered in the challenging task, and the top system achieved 0.7460 F1 in track 1 and 0.8884 in track 2. In this paper, we present the task description, dataset description, team submission ranking and results and analyze the results.

Original languageEnglish
Title of host publicationNatural Language Processing and Chinese Computing - 11th CCF International Conference, NLPCC 2022, Proceedings
EditorsWei Lu, Shujian Huang, Yu Hong, Xiabing Zhou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages294-299
Number of pages6
ISBN (Print)9783031171888
DOIs
Publication statusPublished - 2022
Event11th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2022 - Guilin, China
Duration: 24 Sept 202225 Sept 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13552 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2022
Country/TerritoryChina
CityGuilin
Period24/09/2225/09/22

Keywords

  • Entity linking
  • Information extraction
  • Spoken language

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