Browse State-of-the-Art › Multilingual Named Entity Recognition
Multilingual Named Entity Recognition
15 papers with code · 0 benchmarks · 3 datasets 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
3 datasets 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
15 shown of 15 papers with code (37 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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15 Nov 2023 2 repositories listedWe introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages.
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21 Jun 2019 2 repositories listedIn this paper we tackle multilingual named entity recognition task.
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15 May 2024 1 repository listedNames are provided for 16.
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5 May 2023 1 repository listed Syntology ran 0 of 4 samples · 4 unverifiedAlso, we discover that the limited context length causes the retrieval knowledge to be invisible to the model.
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20 Apr 2023 1 repository listedNamed Entity Recognition (NER) is a core natural language processing task in which pre-trained language models have shown remarkable performance.
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27 Dec 2022 1 repository listedIn response to this recent ongoing issue, this paper presents an innovative approach to address this linguistic trend in social networks through the simulation of different content evasion techniques and a multilingual…
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27 Jun 2022 1 repository listedWe use the recently released VisualSem KG as our external knowledge repository, which covers a subset of Wikipedia and WordNet entities, and compare a mix of tuple-based and graph-based algorithms to learn entity and…
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11 Apr 2022 1 repository listedIn this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution languages and time periods.
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DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition1 Mar 2022 1 repository listedOur system wins 10 out of 13 tracks in the MultiCoNER shared task.
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1 Nov 2021 1 repository listedMultilingual Named Entity Recognition (NER) is a key intermediate task which is needed in many areas of NLP.
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2 May 2020 1 repository listedHowever, a straightforward implementation of this simple idea does not always work in practice: naive training of NER models using annotated data drawn from multiple languages consistently underperforms models trained…
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1 Aug 2019 1 repository listedOur paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish.
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4 Jun 2019 1 repository listedPretrained contextual and non-contextual subword embeddings have become available in over 250 languages, allowing massively multilingual NLP.
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30 Jan 2019 1 repository listedOur paper addresses the problem of multilingual named entity recognition on the material of 4 languages: Russian, Bulgarian, Czech and Polish.
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31 Jan 2017 1 repository listedFinally, the results show that our emphasis on clustering features is crucial to develop robust out-of-domain models.
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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