{"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/e-snli-ve-2-0-corrected-visual-textual","title":"e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations","arxiv_id":"2004.03744","date":"2020-04-07","proceeding":null,"authors":["Virginie Do","Oana-Maria Camburu","Zeynep Akata","Thomas Lukasiewicz"],"abstract":"The recently proposed SNLI-VE corpus for recognising visual-textual entailment is a large, real-world dataset for fine-grained multimodal reasoning. 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Finally, we train models that learn from these explanations at training time, and output such explanations at testing time.","url_abs":"https://arxiv.org/abs/2004.03744v3","url_pdf":"https://arxiv.org/pdf/2004.03744v3.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":"e-snli-ve-2-0-corrected-visual-textual","repo_url":"https://github.com/virginie-do/e-SNLI-VE","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"e-snli-ve-2-0-corrected-visual-textual","repo_url":"https://github.com/OanaMariaCamburu/e-SNLI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"e-snli-ve-2-0-corrected-visual-textual","repo_url":"https://github.com/necla-ml/SNLI-VE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"BSD-3-Clause"}}],"tasks":[{"task_slug":"multimodal-reasoning","task_name":"Multimodal Reasoning"},{"task_slug":"natural-language-inference","task_name":"Natural Language Inference"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2004.03744","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2004.03744"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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