Browse State-of-the-Art › Lexical Simplification
Lexical Simplification
20 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
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
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
20 shown of 20 papers with code (147 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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26 Jul 2019 67 repositories listed Syntology ran 22 of 48 samples · 26 unverified · 23 pointer-only (licence)Language model pretraining has led to significant performance gains but careful comparison between different approaches is challenging.
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1 Dec 2020 3 repositories listedIn this work we propose the task of multi-word lexical simplification, in which a sentence in natural language is made easier to understand by replacing its fragment with a simpler alternative, both of which can consist…
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14 Jul 2019 3 repositories listedLexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning.
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12 Sep 2022 2 repositories listedTo showcase the usability of the dataset, we adapt two state-of-the-art lexical simplification systems with differing architectures (neural vs.\ non-neural) to all three languages (English, Spanish, and Brazilian…
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3 Nov 2024 1 repository listedComplex Word Identification (CWI) is an essential step in the lexical simplification task and has recently become a task on its own.
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1 Nov 2023 1 repository listedWe propose a new unsupervised lexical simplification method that uses only monolingual data and pre-trained language models.
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28 Jul 2023 1 repository listedAfter feeding the input sentence into the encoder of paraphrase modeling, we generate the substitutes based on a novel decoding strategy that concentrates solely on the lexical variations of the complex word.
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5 Jul 2023 1 repository listedMoreover, further evaluation of our approach on the part of the recent TSAR-2022 multilingual LS shared-task dataset shows that our model performs competitively when compared with the participating systems for English…
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21 May 2023 1 repository listedIn this paper, we propose a new continued pre-training strategy to teach the pre-trained model to generate simple texts.
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6 Feb 2023 1 repository listedFine-tuning Transformer-based approaches have recently shown exciting results on sentence simplification task.
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4 Jan 2023 1 repository listedPrevious state-of-the-art models for lexical simplification consist of complex pipelines with several components, each of which requires deep technical knowledge and fine-tuned interaction to achieve its full potential.
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1 Jun 2022 1 repository listedLexical Simplification is the process of reducing the lexical complexity of a text by replacing difficult words with easier to read (or understand) expressions while preserving the original information and meaning.
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14 Oct 2020 1 repository listedLexical simplification has attracted much attention in many languages, which is the process of replacing complex words in a given sentence with simpler alternatives of equivalent meaning.
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25 Jun 2020 1 repository listedLexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning, to simplify the sentence.
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5 Sep 2019 1 repository listedIn this work, we complement such distributional knowledge with external lexical knowledge, that is, we integrate the discrete knowledge on word-level semantic similarity into pretraining.
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12 Oct 2018 1 repository listedCurrent lexical simplification approaches rely heavily on heuristics and corpus level features that do not always align with human judgment.
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11 Sep 2018 1 repository listedOur adversarial post-specialization method propagates the external lexical knowledge to the full distributional space.
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1 Jul 2017 1 repository listedUnlike the previously proposed automated TS systems, our neural text simplification (NTS) systems are able to simultaneously perform lexical simplification and content reduction.
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1 Aug 2016 1 repository listed
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1 Jun 2016 1 repository listed
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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