{"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/sequential-short-text-classification-with","title":"Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks","arxiv_id":"1603.03827","date":"2016-03-12","proceeding":"NAACL 2016 6","authors":["Ji Young Lee","Franck Dernoncourt"],"abstract":"Recent approaches based on artificial neural networks (ANNs) have shown\npromising results for short-text classification. However, many short texts\noccur in sequences (e.g., sentences in a document or utterances in a dialog),\nand most existing ANN-based systems do not leverage the preceding short texts\nwhen classifying a subsequent one. In this work, we present a model based on\nrecurrent neural networks and convolutional neural networks that incorporates\nthe preceding short texts. Our model achieves state-of-the-art results on three\ndifferent datasets for dialog act prediction.","url_abs":"http://arxiv.org/abs/1603.03827v1","url_pdf":"http://arxiv.org/pdf/1603.03827v1.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":"sequential-short-text-classification-with","repo_url":"https://github.com/Franck-Dernoncourt/naacl2016","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"sequential-short-text-classification-with","repo_url":"https://github.com/ilimugur/short-text-classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"text-classification","task_name":"Text Classification"},{"task_slug":"text-classification-1","task_name":"text-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/dialogue-act-classification-on-switchboard","task":"Dialogue Act Classification","dataset":"Switchboard corpus","model":"CNN[[Lee and Dernoncourt2016]]","rank_in_archive_order":11,"of":11,"metrics":{"Accuracy":"73.1"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1603.03827","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}