2021
ACL
ACL 2021
RS_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction
Abstract
AbstractWe 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 with character and word embeddings to predict target wordsβ complexity. For the generation of the hand-crafted features, we set the target words in relation to their senses. RS_GV predicts the complexity well of biomedical terms but it has problems with the complexity prediction of very complex and very simple target words.
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Interdisciplinary Bridge
β Artificial Intelligence and Deep Learning and Machine Learning
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Keyword Pioneer
β hand-crafted linguistic feature
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Hot Topic Early Bird
β text simplification
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Cross-Pollinator
β Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio