SOTAVerified

Lexical Simplification

The goal of Lexical Simplification is to replace complex words (typically words that are used less often in language and are therefore less familiar to readers) with their simpler synonyms, without infringing the grammaticality and changing the meaning of the text.

Source: Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 147 papers

TitleStatusHype
Word Complexity Estimation for Japanese Lexical Simplification—0
A Comparison of Techniques to Automatically Identify Complex Words.—0
Cross-lingual complex word identification with multitask learning—0
Cross-lingual Semantic Specialization via Lexical Relation Induction—0
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction—0
CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups—0
Data-Driven Text Simplification—0
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach—0
Deep Learning Approaches to Lexical Simplification: A Survey—0
Deep Learning Architecture for Complex Word Identification—0
Effects of Lexical Properties on Viewing Time per Word in Autistic and Neurotypical Readers—0
Enhancing Pre-trained Language Model with Lexical Simplification—0
Enhancing Robustness of Pre-trained Language Model with Lexical Simplification—0
Evaluating Lexical Simplification and Vocabulary Knowledge for Learners of French: Possibilities of Using the FLELex Resource—0
Evaluation Dataset and System for Japanese Lexical Simplification—0
Explicit Retrofitting of Distributional Word Vectors—0
Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification—0
FrenLyS: A Tool for the Automatic Simplification of French General Language Texts—0
From Shakespeare to Twitter: What are Language Styles all about?—0
Garuda \& Bhasha at SemEval-2016 Task 11: Complex Word Identification Using Aggregated Learning Models—0
HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French—0
HMC at SemEval-2016 Task 11: Identifying Complex Words Using Depth-limited Decision Trees—0
Identifying Semantic Edit Intentions from Revisions in Wikipedia—0
IIIT at SemEval-2016 Task 11: Complex Word Identification using Nearest Centroid Classification—0
Improving Neural Text Simplification Model with Simplified Corpora—0
Show:102550
← PrevPage 3 of 6Next →

No leaderboard results yet.