{"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/emoatt-at-emoint-2017-inner-attention","title":"EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity","arxiv_id":"1708.05521","date":"2017-08-18","proceeding":"WS 2017 9","authors":["Edison Marrese-Taylor","Yutaka Matsuo"],"abstract":"In this paper we describe a deep learning system that has been designed and\nbuilt for the WASSA 2017 Emotion Intensity Shared Task. We introduce a\nrepresentation learning approach based on inner attention on top of an RNN.\nResults show that our model offers good capabilities and is able to\nsuccessfully identify emotion-bearing words to predict intensity without\nleveraging on lexicons, obtaining the 13th place among 22 shared task\ncompetitors.","url_abs":"http://arxiv.org/abs/1708.05521v1","url_pdf":"http://arxiv.org/pdf/1708.05521v1.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":"emoatt-at-emoint-2017-inner-attention","repo_url":"https://github.com/epochx/emoatt","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"representation-learning","task_name":"Representation Learning"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentence-embedding","task_name":"Sentence Embedding"},{"task_slug":"sentence-embedding-1","task_name":"Sentence-Embedding"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}