{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/semi-supervised-multitask-learning-for","title":"Semi-supervised Multitask Learning for Sequence Labeling","arxiv_id":"1704.07156","date":"2017-04-24","proceeding":"ACL 2017 7","authors":["Marek Rei"],"abstract":"We propose a sequence labeling framework with a secondary training objective,\nlearning to predict surrounding words for every word in the dataset. This\nlanguage modeling objective incentivises the system to learn general-purpose\npatterns of semantic and syntactic composition, which are also useful for\nimproving accuracy on different sequence labeling tasks. The architecture was\nevaluated on a range of datasets, covering the tasks of error detection in\nlearner texts, named entity recognition, chunking and POS-tagging. The novel\nlanguage modeling objective provided consistent performance improvements on\nevery benchmark, without requiring any additional annotated or unannotated\ndata.","url_abs":"http://arxiv.org/abs/1704.07156v1","url_pdf":"http://arxiv.org/pdf/1704.07156v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"semi-supervised-multitask-learning-for","repo_url":"https://github.com/marekrei/sequence-labeler","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"semi-supervised-multitask-learning-for","repo_url":"https://github.com/MirunaPislar/multi-head-attention-labeller","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"semi-supervised-multitask-learning-for","repo_url":"https://github.com/samueljamesbell/sequence-labeler","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"chunking","task_name":"Chunking"},{"task_slug":"grammatical-error-detection","task_name":"Grammatical Error Detection"},{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"language-modelling","task_name":"Language Modelling"},{"task_slug":"named-entity-recognition-1","task_name":"Named Entity Recognition"},{"task_slug":"named-entity-recognition-ner","task_name":"Named Entity Recognition (NER)"},{"task_slug":"pos","task_name":"POS"},{"task_slug":"pos-tagging","task_name":"POS Tagging"},{"task_slug":"part-of-speech-tagging","task_name":"Part-Of-Speech Tagging"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/grammatical-error-detection-on-conll-2014-a1","task":"Grammatical Error Detection","dataset":"CoNLL-2014 A1","model":"Bi-LSTM + LMcost (trained on FCE)","rank_in_archive_order":6,"of":8,"metrics":{"F0.5":"17.86"},"uses_additional_data":false},{"leaderboard":"/sota/grammatical-error-detection-on-conll-2014-a2","task":"Grammatical Error Detection","dataset":"CoNLL-2014 A2","model":"Bi-LSTM + LMcost (trained on FCE)","rank_in_archive_order":7,"of":8,"metrics":{"F0.5":"25.88"},"uses_additional_data":false},{"leaderboard":"/sota/grammatical-error-detection-on-fce","task":"Grammatical Error Detection","dataset":"FCE","model":"Bi-LSTM + LMcost","rank_in_archive_order":4,"of":8,"metrics":{"F0.5":"48.48"},"uses_additional_data":false},{"leaderboard":"/sota/part-of-speech-tagging-on-penn-treebank","task":"Part-Of-Speech Tagging","dataset":"Penn Treebank","model":"Bi-LSTM + LMcost","rank_in_archive_order":15,"of":20,"metrics":{"Accuracy":"97.43"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1704.07156","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}