{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:23:32Z","timestamp":1740169412112,"version":"3.37.3"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3507772","type":"journal-article","created":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T19:41:56Z","timestamp":1732736516000},"page":"190540-190553","source":"Crossref","is-referenced-by-count":0,"title":["Caption Alignment and Structure-Aware Attention for Scientific Table-to-Text Generation"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5766-1727","authenticated-orcid":false,"given":"Jian","family":"Wu","sequence":"first","affiliation":[{"name":"Tokyo Institute of Technology, Meguro-ku, Tokyo, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8925-360X","authenticated-orcid":false,"given":"B\u00f6rje F.","family":"Karlsson","sequence":"additional","affiliation":[{"name":"Beijing Academy of Artificial Intelligence, Haidian, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7730-1536","authenticated-orcid":false,"given":"Manabu","family":"Okumura","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Meguro-ku, Tokyo, Japan"}]}],"member":"263","reference":[{"key":"ref1","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1128"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1356"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1137"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016908"},{"key":"ref6","first-page":"1044","article-title":"Point precisely: Towards ensuring the precision of data in generated texts using delayed copy mechanism","volume-title":"Proc. 27th Int. Conf. Comput. Linguistics","author":"Li"},{"key":"ref7","article-title":"Learning to reason for text generation from scientific tables","author":"Moosavi","year":"2021","journal-title":"arXiv:2104.08296"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.115"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.371"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.89"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.78"},{"issue":"1","key":"ref12","first-page":"5485","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref13","article-title":"BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension","author":"Lewis","year":"2019","journal-title":"arXiv:1910.13461"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.inlg-1.14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.76"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1197"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11925"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11944"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1139"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2098"},{"key":"ref21","article-title":"Investigating table-to-text generation capabilities of LLMs in real-world information seeking scenarios","author":"Zhao","year":"2023","journal-title":"arXiv:2305.14987"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.naacl-industry.41"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.398"},{"key":"ref24","article-title":"TableLlama: Towards open large generalist models for tables","author":"Zhang","year":"2023","journal-title":"arXiv:2311.09206"},{"key":"ref25","article-title":"GPT-4 technical report","volume-title":"arXiv:2303.08774","author":"Achiam","year":"2023"},{"volume-title":"All data on the table: Novel dataset and benchmark for cross-modality scientific information extraction","year":"2023","author":"Li","key":"ref26"},{"key":"ref27","first-page":"311","article-title":"BLEU: A method for automatic evaluation of machine translation","volume-title":"Proc. 40th Annu. Meeting Assoc. Comput. Linguistics","author":"Papineni"},{"key":"ref28","first-page":"65","article-title":"METEOR: An automatic metric for MT evaluation with improved correlation with human judgments","volume-title":"Proc. ACL Workshop Intrinsic Extrinsic Eval. Measures Mach. Transl. Summarization","author":"Banerjee"},{"key":"ref29","first-page":"74","article-title":"ROUGE: A package for automatic evaluation of summaries","author":"Lin","year":"2004","journal-title":"Text Summarization Branches Out"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d15-1044"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1031"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10770202.pdf?arnumber=10770202","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T06:50:51Z","timestamp":1734677451000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10770202\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3507772","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}