Browse State-of-the-Art › Negation Detection
Negation Detection
11 papers with code · 0 benchmarks · 4 datasets archive 2025-07-28
Negation detection is the task of identifying negation cues in text.
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
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Most implemented papers archive 2025-07-28
11 shown of 11 papers with code (55 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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Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods1 Sep 2022 1 repository listedAs structured data are often insufficient, labels need to be extracted from free text in electronic health records when developing models for clinical information retrieval and decision support systems.
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19 Mar 2022 1 repository listedAnalyzing radiology reports is a time-consuming and error-prone task, which raises the need for an efficient automated radiology report analysis system to alleviate the workloads of radiologists and encourage precise…
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21 Sep 2021 1 repository listedAdverse Drug Event (ADE) extraction models can rapidly examine large collections of social media texts, detecting mentions of drug-related adverse reactions and trigger medical investigations.
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1 Aug 2021 1 repository listedParticipants are then tested on data representing a new (target) domain.
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20 Nov 2020 1 repository listedDetecting negation and speculation in language has been a task of considerable interest to the biomedical community, as it is a key component of Information Extraction systems from Biomedical documents.
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1 Nov 2020 1 repository listedOur analysis finds that our rule-based system outperforms the neural models on both datasets and seems to generalise to the out-of-sample dataset.
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29 Feb 2020 1 repository listedIn the era of clinical information explosion, a good strategy for clinical text summarization is helpful to improve the clinical workflow.
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9 Jan 2020 1 repository listedSpeculation is a naturally occurring phenomena in textual data, forming an integral component of many systems, especially in the biomedical information retrieval domain.
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11 Nov 2019 1 repository listedOur model, referred to as NegBERT, achieves a token level F1 score on scope resolution of 92.
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14 Nov 2018 1 repository listedThe TREC-PM challenge aims for advances in the field of information retrieval applied to precision medicine.
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1 Jun 2016 1 repository listed
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