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 _______________________________________________ Mt-list site list Mt-list@eamt.org http://lists.eamt.org/mailman/listinfo/mt-list
