Papers Lexical Complexity Prediction
“Lexical Complexity Prediction” 태그가 달린 논문 44편 · 필터 해제
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
Complex Word Identification (CWI) is an essential step in the lexical simplification task and has recently become a task on its own. Some variations of this binary classification task have emerged, such as lexical comple…
Binary ClassificationComplex Word IdentificationLexical Complexity PredictionLexical Simplification+2Difficult for Whom? A Study of Japanese Lexical Complexity
The tasks of lexical complexity prediction (LCP) and complex word identification (CWI) commonly presuppose that difficult to understand words are shared by the target population. Meanwhile, personalization methods have a…
Complex Word IdentificationLexical Complexity PredictionBeyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?
Word frequency is a key variable in psycholinguistics, useful for modeling human familiarity with words even in the era of large language models (LLMs). Frequency in film subtitles has proved to be a particularly good ap…
Lexical Complexity PredictionWord EmbeddingsMultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish
Automatic lexical simplification is a task to substitute lexical items that may be unfamiliar and difficult to understand with easier and more common words. This paper presents MultiLS-SP/CA, a novel dataset for lexical …
Lexical Complexity PredictionLexical SimplificationMultiLS: A Multi-task Lexical Simplification Framework
Lexical Simplification (LS) automatically replaces difficult to read words for easier alternatives while preserving a sentence's original meaning. LS is a precursor to Text Simplification with the aim of improving text a…
Lexical Complexity PredictionLexical SimplificationText SimplificationJapanese Lexical Complexity for Non-Native Readers: A New Dataset
Lexical complexity prediction (LCP) is the task of predicting the complexity of words in a text on a continuous scale. It plays a vital role in simplifying or annotating complex words to assist readers. To study lexical …
Lexical Complexity PredictionLexical Complexity Prediction: An Overview
The occurrence of unknown words in texts significantly hinders reading comprehension. To improve accessibility for specific target populations, computational modelling has been applied to identify complex words in texts …
Lexical Complexity PredictionPredictionReading ComprehensionText SimplificationAutomatic Readability Assessment of German Sentences with Transformer Ensembles
Reliable methods for automatic readability assessment have the potential to impact a variety of fields, ranging from machine translation to self-informed learning. Recently, large language models for the German language …
Lexical Complexity PredictionText Complexity Assessment (GermEval 2022)An Evaluation of Binary Comparative Lexical Complexity Models
Identifying complex words in texts is an important first step in text simplification (TS) systems. In this paper, we investigate the performance of binary comparative Lexical Complexity Prediction (LCP) models applied to…
Lexical Complexity PredictionSentenceText SimplificationDomain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification
Complex word identification (CWI) is a cornerstone process towards proper text simplification. CWI is highly dependent on context, whereas its difficulty is augmented by the scarcity of available datasets which vary grea…
Complex Word IdentificationDomain AdaptationLexical Complexity PredictionText SimplificationComplex words identification using word-level features for SemEval-2020 Task 1
This article describes a system to predict the complexity of words for the Lexical Complexity Prediction (LCP) shared task hosted at SemEval 2021 (Task 1) with a new annotated English dataset with a Likert scale. Located…
Lexical Complexity PredictionJCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction
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 PredictionWord EmbeddingsIAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction
This paper describes our submission to SemEval-2021 Task 1: predicting the complexity score for single words. Our model leverages standard morphosyntactic and frequency-based features that proved helpful for Complex Word…
AllComplex Word IdentificationLexical Complexity PredictionMulti-Task Learning+1IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task
This paper describes our contribution to SemEval 2021 Task 1 (Shardlow et al., 2021): Lexical Complexity Prediction. In our approach, we leverage the ELECTRA model and attempt to mirror the data annotation scheme. Althou…
Lexical Complexity PredictionregressionTask 2Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction
This paper revisits feature engineering approaches for predicting the complexity level of English words in a particular context using regression techniques. Our best submission to the Lexical Complexity Prediction (LCP) …
Feature EngineeringLexical Complexity PredictionregressionSentenceCompNA at SemEval-2021 Task 1: Prediction of lexical complexity analyzing heterogeneous features
This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (LCP) shared task hosted at SemEval 2021 (Task 1). The solution is based on combining features of different nature throug…
Lexical Complexity PredictionPolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP)
In this contribution, we describe the system presented by the PolyU CBS-Comp Team at the Task 1 of SemEval 2021, where the goal was the estimation of the complexity of words in a given sentence context. Our top system, b…
Lexical Complexity PredictionSentenceWord EmbeddingsDeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach
Lexical complexity plays an important role in reading comprehension. lexical complexity prediction (LCP) can not only be used as a part of Lexical Simplification systems, but also as a stand-alone application to help peo…
Data AugmentationLexical Complexity PredictionLexical SimplificationReading ComprehensionCS-UM6P at SemEval-2021 Task 1: A Deep Learning Model-based Pre-trained Transformer Encoder for Lexical Complexity
Lexical Complexity Prediction (LCP) involves assigning a difficulty score to a particular word or expression, in a text intended for a target audience. In this paper, we introduce a new deep learning-based system for thi…
Deep LearningLexical Complexity PredictionCambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction
This paper describes our submission to the SemEval-2021 shared task on Lexical Complexity Prediction. We approached it as a regression problem and present an ensemble combining four systems, one feature-based and three n…
Lexical Complexity PredictionMulti-Task Learningregression