{"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/improving-sentence-compression-by-learning-to","title":"Improving sentence compression by learning to predict gaze","arxiv_id":"1604.03357","date":"2016-04-12","proceeding":"NAACL 2016 6","authors":["Sigrid Klerke","Yoav Goldberg","Anders Søgaard"],"abstract":"We show how eye-tracking corpora can be used to improve sentence compression\nmodels, presenting a novel multi-task learning algorithm based on multi-layer\nLSTMs. We obtain performance competitive with or better than state-of-the-art\napproaches.","url_abs":"http://arxiv.org/abs/1604.03357v1","url_pdf":"http://arxiv.org/pdf/1604.03357v1.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":[],"tasks":[{"task_slug":"multi-task-learning","task_name":"Multi-Task Learning"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentence-compression","task_name":"Sentence Compression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/sentence-compression-on-google-dataset","task":"Sentence Compression","dataset":"Google Dataset","model":"LSTMs + eye-movement","rank_in_archive_order":5,"of":6,"metrics":{"CR":"-","F1":"0.81"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1604.03357","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}