{"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/automatic-prediction-of-discourse-connectives","title":"Automatic Prediction of Discourse Connectives","arxiv_id":"1702.00992","date":"2017-02-03","proceeding":"LREC 2018 5","authors":["Eric Malmi","Daniele Pighin","Sebastian Krause","Mikhail Kozhevnikov"],"abstract":"Accurate prediction of suitable discourse connectives (however, furthermore,\netc.) is a key component of any system aimed at building coherent and fluent\ndiscourses from shorter sentences and passages. As an example, a dialog system\nmight assemble a long and informative answer by sampling passages extracted\nfrom different documents retrieved from the Web. We formulate the task of\ndiscourse connective prediction and release a dataset of 2.9M sentence pairs\nseparated by discourse connectives for this task. Then, we evaluate the\nhardness of the task for human raters, apply a recently proposed decomposable\nattention (DA) model to this task and observe that the automatic predictor has\na higher F1 than human raters (32 vs. 30). Nevertheless, under specific\nconditions the raters still outperform the DA model, suggesting that there is\nheadroom for future improvements.","url_abs":"http://arxiv.org/abs/1702.00992v2","url_pdf":"http://arxiv.org/pdf/1702.00992v2.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":"automatic-prediction-of-discourse-connectives","repo_url":"https://github.com/ekQ/discourse-connectives","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1702.00992","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}