Cross-Lingual NER

Benchmarks archive 2025-07-28

28 leaderboard tables shown for this task, 28 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 28 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

9 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

27 shown of 27 papers with code (42 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.

• ByT5: Towards a token-free future with pre-trained byte-to-byte models
  28 May 2021 5 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Most widely-used pre-trained language models operate on sequences of tokens corresponding to word or subword units.
• Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
  23 Oct 2022 4 repositories listed
  Zero-resource cross-lingual transfer approaches aim to apply supervised models from a source language to unlabelled target languages.
• Rethinking embedding coupling in pre-trained language models
  24 Oct 2020 4 repositories listed
  We re-evaluate the standard practice of sharing weights between input and output embeddings in state-of-the-art pre-trained language models.
• Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
  15 Nov 2023 2 repositories listed
  We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages.
• T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
  20 Dec 2022 2 repositories listed
  In the absence of readily available labeled data for a given sequence labeling task and language, annotation projection has been proposed as one of the possible strategies to automatically generate annotated data.
• Frustratingly Easy Label Projection for Cross-lingual Transfer
  28 Nov 2022 2 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  Translating training data into many languages has emerged as a practical solution for improving cross-lingual transfer.
• Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
  10 Oct 2019 2 repositories listed
  Learning multilingual representations of text has proven a successful method for many cross-lingual transfer learning tasks.
• Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
  19 Apr 2019 2 repositories listed
  Pretrained contextual representation models (Peters et al., 2018; Devlin et al., 2018) have pushed forward the state-of-the-art on many NLP tasks.
• Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages
  30 Jan 2025 1 repository listed
  These findings highlight the robustness of projection-based data transfer as an alternative to model-based methods for crosslingual named entity recognition in lowresource languages.
• Effectiveness of Cross-linguistic Extraction of Genetic Information using Generative Large Language Models
  24 Sep 2024 1 repository listed
  This paper presents the RMIT University system (RMIT-READ-BioMed) developed for the GenoVarDis shared task at IberLEF 2024, focusing on the task of Named Entity Recognition (NER) of genes, genetic variants, and…
• Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
  23 Jun 2024 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Existing zero-shot cross-lingual NER approaches require substantial prior knowledge of the target language, which is impractical for low-resource languages.
• Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition
  3 Jun 2024 1 repository listed
  In this paper, we propose a Global-Local Denoising framework (GLoDe) for cross-lingual NER.
• Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning
  23 May 2023 1 repository listed
  In cross-lingual named entity recognition (NER), self-training is commonly used to bridge the linguistic gap by training on pseudo-labeled target-language data.
• WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
  7 Dec 2022 1 repository listed Syntology ran 11 of 14 samples · 3 unverified
  In this study, a mixture of short-channel distillers (MSD) method is proposed to fully interact the rich hierarchical information in the teacher model and to transfer knowledge to the student model sufficiently and…
• ConNER: Consistency Training for Cross-lingual Named Entity Recognition
  17 Nov 2022 1 repository listed
  We propose ConNER as a novel consistency training framework for cross-lingual NER, which comprises of: (1) translation-based consistency training on unlabeled target-language data, and (2) dropoutbased consistency…
• CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation
  13 Oct 2022 1 repository listed
  Specifically, the target sequence is first translated into the source language and then tagged by a source NER model.
• An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition
  16 Nov 2021 1 repository listed
  In this study, based on the knowledge distillation framework and multi-task learning, we introduce the similarity metric model as an auxiliary task to improve the cross-lingual NER performance on target domain.
• MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER
  31 Aug 2021 1 repository listed
  Data augmentation is an effective solution to data scarcity in low-resource scenarios.
• AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
  4 Jun 2021 1 repository listed
  Neural methods have been shown to achieve high performance in Named Entity Recognition (NER), but rely on costly high-quality labeled data for training, which is not always available across languages.
• Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings
  11 Mar 2021 1 repository listed
  We operationalize our framework by first proposing a novel sense-aware cross entropy loss to model word senses explicitly.
• Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition
  22 Dec 2020 1 repository listed
  In the proposed framework, the domain-specific information is integrated with the domain-specific latent variables by using a domain predictor.
• UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
  15 Jul 2020 1 repository listed
  Prior works in cross-lingual named entity recognition (NER) with no/little labeled data fall into two primary categories: model transfer based and data transfer based methods.
• Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
  26 Apr 2020 1 repository listed
  However, such methods either are not applicable if the labeled data in the source languages is unavailable, or do not leverage information contained in unlabeled data in the target language.
• Zero-Resource Cross-Lingual Named Entity Recognition
  22 Nov 2019 1 repository listed
  Recently, neural methods have achieved state-of-the-art (SOTA) results in Named Entity Recognition (NER) tasks for many languages without the need for manually crafted features.
• Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
  14 Nov 2019 1 repository listed
  For languages with no annotated resources, transferring knowledge from rich-resource languages is an effective solution for named entity recognition (NER).
• Entity Projection via Machine Translation for Cross-Lingual NER
  31 Aug 2019 1 repository listed
  Although over 100 languages are supported by strong off-the-shelf machine translation systems, only a subset of them possess large annotated corpora for named entity recognition.
• Multi-Source Cross-Lingual Model Transfer: Learning What to Share
  8 Oct 2018 1 repository listed
  In this work, we focus on the multilingual transfer setting where training data in multiple source languages is leveraged to further boost target language performance.

Syntology lines on 4 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.