Call for Participation - SemEval 2021 Task 1: Lexical Complexity Prediction 
(LCP)

URL: https://sites.google.com/view/lcpsharedtask2021

Lexical complexity plays a crucial role in reading comprehension. Predicting 
lexical complexity accurately can enable a system to better guide a user to an 
appropriate text, or tailor a text to their needs. NLP systems have been 
developed to simplify texts for second language learners, native speakers with 
low literacy levels, and people with reading disabilities.

SemEval 2021 Task 1: Lexical Complexity Prediction (LCP) provides participants 
with an augmented version of CompLex, a multi-domain English dataset with 
sentences annotated using a 5-point Likert scale (1-5) (from very easy to very 
difficult). The task is to predict the complexity value of words in context.

LCP will be divided into two sub-tasks:

- Sub-task 1: predicting the complexity score of single words;
- Sub-task 2: predicting the complexity score of multi-word expressions.

Dates

Trial data available: July 31, 2020
Training data available: September 4, 2020
Test data available/Evaluation starts: January 11, 2021
Evaluation ends: January 20, 2021
Paper submission due: February 23, 2021
Notification to authors: March 29, 2021
Camera ready due: April 5, 2021
SemEval workshop: Summer 2021

Task Organizers

Matthew Shardlow (Manchester Metropolitan University - UK)
Richard Evans (University of Wolverhampton - UK)
Gustavo Henrique Paetzold (Universidade Tecnológica Federal do Paraná - Brazil)
Marcos Zampieri (Rochester Institute of Technology - USA)

Contact: semeval-2021-task-1-organiz...@googlegroups.com
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