{"url":"/task/pos-tagging","name":"POS Tagging","slug":"pos-tagging","description_markdown":"Part of Speech Tagging","categories":[{"name":"Natural Language Processing","url":"/area/natural-language-processing"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":523,"papers_with_code":136,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":0,"parent_tasks":0},"benchmarks":[{"leaderboard":"/sota/pos-tagging-on-twitter-pos","slug":"pos-tagging-on-twitter-pos","dataset":"Twitter POS","dataset_url":"/dataset/twitter-pos","rows_in_archive":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"DecomposedMetaSL","paper_title":"Decomposed Meta-Learning for Few-Shot Sequence Labeling","paper_url":"/paper/decomposed-meta-learning-for-few-shot","paper_date":"2024-03-04","arxiv_id":null,"code_links":[{"title":"microsoft/vert-papers","url":"https://github.com/microsoft/vert-papers/tree/master/papers/DecomposedMetaSL"}],"syntology":null}},{"leaderboard":"/sota/pos-tagging-on-wsj-pos","slug":"pos-tagging-on-wsj-pos","dataset":"WSJ POS","dataset_url":"/dataset/wsj-pos","rows_in_archive":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"DecomposedMetaSL","paper_title":"Decomposed Meta-Learning for Few-Shot Sequence Labeling","paper_url":"/paper/decomposed-meta-learning-for-few-shot","paper_date":"2024-03-04","arxiv_id":null,"code_links":[{"title":"microsoft/vert-papers","url":"https://github.com/microsoft/vert-papers/tree/master/papers/DecomposedMetaSL"}],"syntology":null}}],"datasets":[{"url":"/dataset/twitter-pos","name":"Twitter POS","full_name":"","num_papers_in_archive":2},{"url":"/dataset/wsj-pos","name":"WSJ POS","full_name":"","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":136,"tagged_in_all":523,"items":[{"url":"/paper/end-to-end-sequence-labeling-via-bi","title":"End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF","date":"2016-03-04","arxiv_id":"1603.01354","repositories_listed":25,"syntology":{"n":24,"n_ran":4,"n_unverified":20,"n_pointer_only":3}},{"url":"/paper/does-manipulating-tokenization-aid-cross","title":"Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages","date":"2023-04-20","arxiv_id":"2304.10158","repositories_listed":6,"syntology":null},{"url":"/paper/pkuseg-a-toolkit-for-multi-domain-chinese","title":"PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation","date":"2019-06-27","arxiv_id":"1906.11455","repositories_listed":4,"syntology":null},{"url":"/paper/transfer-learning-for-sequence-tagging-with","title":"Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks","date":"2017-03-18","arxiv_id":"1703.06345","repositories_listed":4,"syntology":{"n":8,"n_ran":0,"n_unverified":8,"n_pointer_only":0}},{"url":"/paper/part-of-speech-tagging-with-bidirectional","title":"Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network","date":"2015-10-21","arxiv_id":"1510.06168","repositories_listed":4,"syntology":null},{"url":"/paper/linspector-multilingual-probing-tasks-for","title":"LINSPECTOR: Multilingual Probing Tasks for Word Representations","date":"2019-03-22","arxiv_id":"1903.09442","repositories_listed":3,"syntology":null},{"url":"/paper/portuguese-word-embeddings-evaluating-on-word","title":"Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks","date":"2017-08-20","arxiv_id":"1708.06025","repositories_listed":3,"syntology":null},{"url":"/paper/semi-supervised-multitask-learning-for","title":"Semi-supervised Multitask Learning for Sequence Labeling","date":"2017-04-24","arxiv_id":"1704.07156","repositories_listed":3,"syntology":null},{"url":"/paper/multilingual-part-of-speech-tagging-with","title":"Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss","date":"2016-04-19","arxiv_id":"1604.05529","repositories_listed":3,"syntology":{"n":4,"n_ran":1,"n_unverified":3,"n_pointer_only":1}},{"url":"/paper/pos-tagging-to-highlight-the-skeletal","title":"POS-tagging to highlight the skeletal structure of sentences","date":"2024-11-21","arxiv_id":"2411.14393","repositories_listed":2,"syntology":null},{"url":"/paper/puoberta-training-and-evaluation-of-a-curated","title":"PuoBERTa: Training and evaluation of a curated language model for Setswana","date":"2023-10-13","arxiv_id":"2310.09141","repositories_listed":2,"syntology":null},{"url":"/paper/impact-of-position-bias-on-language-models-in","title":"Technical Report: Impact of Position Bias on Language Models in Token Classification","date":"2023-04-26","arxiv_id":"2304.13567","repositories_listed":2,"syntology":null},{"url":"/paper/building-odia-shallow-parser","title":"Building Odia Shallow Parser","date":"2022-04-19","arxiv_id":"2204.08960","repositories_listed":2,"syntology":null},{"url":"/paper/potential-idiomatic-expression-pie-english","title":"Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms","date":"2021-04-25","arxiv_id":"2105.03280","repositories_listed":2,"syntology":null},{"url":"/paper/thamizhiudp-a-dependency-parser-for-tamil","title":"ThamizhiUDp: A Dependency Parser for Tamil","date":"2020-12-24","arxiv_id":"2012.13436","repositories_listed":2,"syntology":null},{"url":"/paper/the-annotation-guideline-of-lst20-corpus","title":"The Annotation Guideline of LST20 Corpus","date":"2020-08-12","arxiv_id":"2008.05055","repositories_listed":2,"syntology":null},{"url":"/paper/a-common-semantic-space-for-monolingual-and","title":"A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings","date":"2020-01-17","arxiv_id":"2001.06381","repositories_listed":2,"syntology":null},{"url":"/paper/hierarchically-refined-label-attention","title":"Hierarchically-Refined Label Attention Network for Sequence Labeling","date":"2019-08-23","arxiv_id":"1908.08676","repositories_listed":2,"syntology":null},{"url":"/paper/beto-bentz-becas-the-surprising-cross-lingual","title":"Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT","date":"2019-04-19","arxiv_id":"1904.09077","repositories_listed":2,"syntology":null},{"url":"/paper/from-pos-tagging-to-dependency-parsing-for","title":"From POS tagging to dependency parsing for biomedical event extraction","date":"2018-08-11","arxiv_id":"1808.03731","repositories_listed":2,"syntology":null},{"url":"/paper/building-a-kannada-pos-tagger-using-machine","title":"Building a Kannada POS Tagger Using Machine Learning and Neural Network Models","date":"2018-08-09","arxiv_id":"1808.03175","repositories_listed":2,"syntology":null},{"url":"/paper/design-challenges-and-misconceptions-in","title":"Design Challenges and Misconceptions in Neural Sequence Labeling","date":"2018-06-12","arxiv_id":"1806.04470","repositories_listed":2,"syntology":null},{"url":"/paper/vncorenlp-a-vietnamese-natural-language","title":"VnCoreNLP: A Vietnamese Natural Language Processing Toolkit","date":"2018-01-04","arxiv_id":"1801.01331","repositories_listed":2,"syntology":null},{"url":"/paper/pampo-using-pattern-matching-and-pos-tagging","title":"PAMPO: using pattern matching and pos-tagging for effective Named Entities recognition in Portuguese","date":"2016-12-30","arxiv_id":"1612.09535","repositories_listed":2,"syntology":null},{"url":"/paper/recurrent-neural-network-based-part-of-speech","title":"Recurrent Neural Network based Part-of-Speech Tagger for Code-Mixed Social Media Text","date":"2016-11-15","arxiv_id":"1611.04989","repositories_listed":2,"syntology":null},{"url":"/paper/segmental-recurrent-neural-networks","title":"Segmental Recurrent Neural Networks","date":"2015-11-18","arxiv_id":"1511.06018","repositories_listed":2,"syntology":null},{"url":"/paper/a-comparative-analysis-of-static-word","title":"A Comparative Analysis of Static Word Embeddings for Hungarian","date":"2025-05-12","arxiv_id":"2505.07809","repositories_listed":1,"syntology":null},{"url":"/paper/myner-contextualized-burmese-named-entity","title":"myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS Tagging","date":"2025-04-05","arxiv_id":"2504.04038","repositories_listed":1,"syntology":null},{"url":"/paper/how-does-a-text-preprocessing-pipeline-affect","title":"How Does A Text Preprocessing Pipeline Affect Ontology Syntactic Matching?","date":"2024-11-06","arxiv_id":"2411.03962","repositories_listed":1,"syntology":null},{"url":"/paper/j2n-nominal-adjective-identification-and-its","title":"J2N -- Nominal Adjective Identification and its Application","date":"2024-09-22","arxiv_id":"2409.14374","repositories_listed":1,"syntology":null}],"syntology_records":3,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}