Overview of NLPCC Shared Task 2: Multi-perspective Scientific Machine Reading Comprehension

Xiao Zhang, Heqi Zheng, Yuxiang Nie, Xian Ling Mao*

*Corresponding author for this work

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

Abstract

In this report, we give an overview of the shared task about multi-perspective scientific machine reading comprehension at the 12th CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2023). Scientific machine reading comprehension (SMRC) aims to understand scientific texts through interactions with humans by given questions. In this task, questions about scientific texts include perspectives from beginners, students and experts. It requires different levels of understanding of scientific texts. We describe the task, the corpus, the participating teams and their results.

Original languageEnglish
Title of host publicationNatural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Proceedings
EditorsFei Liu, Nan Duan, Qingting Xu, Yu Hong
PublisherSpringer Science and Business Media Deutschland GmbH
Pages102-107
Number of pages6
ISBN (Print)9783031446986
DOIs
Publication statusPublished - 2023
Event12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023 - Foshan, China
Duration: 12 Oct 202315 Oct 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14304 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023
Country/TerritoryChina
CityFoshan
Period12/10/2315/10/23

Keywords

  • Machine reading comprehension
  • Multi-perspective
  • NLPCC 2023

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