SemEval-2021 Task 1: Lexical Complexity Prediction

2021-06-01 · SEMEVAL 2021 · Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, Marcos Zampieri

This paper presents the results and main findings of SemEval-2021 Task 1 - Lexical Complexity Prediction. We provided participants with an augmented version of the CompLex Corpus (Shardlow et al 2020). CompLex is an English multi-domain corpus in which words and multi-word expressions (MWEs) were annotated with respect to their complexity using a five point Likert scale. SemEval-2021 Task 1 featured two Sub-tasks: Sub-task 1 focused on single words and Sub-task 2 focused on MWEs. The competition attracted 198 teams in total, of which 54 teams submitted official runs on the test data to Sub-task 1 and 37 to Sub-task 2.

📄 PDF Abstract BibTeX arXiv:2106.00473

Code (0)

등록된 구현이 없습니다.

Tasks

Lexical Complexity PredictionPredictionTask 2

Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings

2021-08-01 · SEMEVAL 2021 · Erik Rozi, Niveditha Iyer, Gordon Chi, Enok Choe 외

This paper presents our system for the single- and multi-word lexical complexity prediction tasks of SemEval Task 1: Lexical Complexity Prediction. Text comprehension depends on the reader{'}s ability to understand the w…

Lexical Complexity Prediction Prediction Reading Comprehension Word Embeddings

JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction

2021-08-01 · SEMEVAL 2021 · Chaya Liebeskind, Otniel Elkayam, Shmuel Liebeskind

In this paper, we present our contribution in SemEval-2021 Task 1: Lexical Complexity Prediction, where we integrate linguistic, statistical, and semantic properties of the target word and its context as features within …

Lexical Complexity Prediction Word Embeddings

UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders

2021-08-01 · SEMEVAL 2021 · Milton King, Ali Hakimi Parizi, Samin Fakharian, Paul Cook

In this paper, we present three supervised systems for English lexical complexity prediction of single and multiword expressions for SemEval-2021 Task 1. We explore the use of statistical baseline features, masked langua…

Lexical Complexity Prediction Prediction

archer at SemEval-2021 Task 1: Contextualising Lexical Complexity

2021-08-01 · SEMEVAL 2021 · Irene Russo

Evaluating the complexity of a target word in a sentential context is the aim of the Lexical Complexity Prediction task at SemEval-2021. This paper presents the system created to assess single words lexical complexity, c…

LEMMA Lexical Complexity Prediction

RS\_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction

2021-08-01 · SEMEVAL 2021 · Regina Stodden, Gayatri Venugopal

We present the technical report of the system called RS{\_}GV at SemEval-2021 Task 1 on lexical complexity prediction of English words. RS{\_}GV is a neural network using hand-crafted linguistic features in combination w…

Lexical Complexity Prediction Prediction Word Embeddings