Browse State-of-the-Art › Toxic Spans Detection
Toxic Spans Detection
18 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Given a sentence identify the toxic spans present in it.
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
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
18 shown of 18 papers with code (38 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.
-
16 Jun 2023 1 repository listedGiven the dynamic nature of toxic language use, automated methods for detecting toxic spans are likely to encounter distributional shift.
-
24 Jan 2023 1 repository listedThe rise in hateful and offensive language directed at other users is one of the adverse side effects of the increased use of social networking platforms.
-
1 May 2022 1 repository listedWe study the task of toxic spans detection, which concerns the detection of the spans that make a text toxic, when detecting such spans is possible.
-
7 Oct 2021 1 repository listedToxicity is pervasive in social media and poses a major threat to the health of online communities.
-
1 Aug 2021 1 repository listedIn this paper, a transformer-based model with auxiliary information is proposed for SemEval-2021 Task 5.
-
1 Aug 2021 1 repository listedThis paper describes our contribution to SemEval-2021 Task 5: Toxic Spans Detection.
-
1 Aug 2021 1 repository listedThe baseline approach for this problem using the transformer model is to add a token classification head to the language model and fine-tune the layers with the token labeled dataset.
-
1 Aug 2021 1 repository listedIn this paper, we describe our system used for SemEval 2021 Task 5: Toxic Spans Detection.
-
28 May 2021 1 repository listedWe also explore a dependency parsing approach where we extract spans from the input sentence under the supervision of target span boundaries and rank our spans using a biaffine model.
-
20 Apr 2021 1 repository listedWe present our works on SemEval-2021 Task 5 about Toxic Spans Detection.
-
10 Apr 2021 1 repository listedThis paper describes our system for SemEval-2021 Task 5 on Toxic Spans Detection.
-
10 Apr 2021 1 repository listedDetecting which parts of a sentence contribute to that sentence's toxicity -- rather than providing a sentence-level verdict of hatefulness -- would increase the interpretability of models and allow human moderators to…
-
9 Apr 2021 1 repository listedIn recent years, the widespread use of social media has led to an increase in the generation of toxic and offensive content on online platforms.
-
8 Apr 2021 1 repository listedThis paper describes our approach to the Toxic Spans Detection problem (SemEval-2021 Task 5).
-
4 Apr 2021 1 repository listedIn this work, we present our approach and findings for SemEval-2021 Task 5 - Toxic Spans Detection.
-
1 Apr 2021 1 repository listedThis paper presents our submission to SemEval-2021 Task 5: Toxic Spans Detection.
-
17 Mar 2021 1 repository listedWe tackle this problem utilizing a combination of a state-of-the-art pre-trained language model (CharacterBERT) and a traditional bag-of-words technique.
-
24 Feb 2021 1 repository listedIn our paper, we explore simple versions of both of these approaches and their performance on the task.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections