| { |
| "paper_id": "2021", |
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| "date_generated": "2023-01-19T12:13:50.157390Z" |
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| "title": "", |
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| "year": "", |
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| "abstract": "", |
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| "paper_id": "2021", |
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| "abstract": [], |
| "body_text": [ |
| { |
| "text": "Welcome to LANTERN 2021, the Third Workshop Beyond Vision and Language: Integrating Real-World Knowledge, co-located with EACL 2021. Building on the successes of the first edition co-located with EMNLP-IJCNLP 2019 and the second edition co-located with COLING 2020, the third edition of LANTERN aims to again bring together and interconnect researchers focusing on natural language research from a multimodal perspective. In particular, the main goal of the workshop is to promote and foster research which uses machine-and deep-learning techniques to interconnect language with vision and other modalities by leveraging external knowledge. We encourage contributions which exploit very diverse sources of external knowledge like knowledge graphs, fixed and dynamic environments, cognitive and neuroscience data, etc. This results in the workshop being open to all research directions which acknowledge the importance of knowledge in acquiring, using, and evaluating language in real-world settings.", |
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| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "In this third edition, we called for both long and short papers. All the accepted contributions are published in these Proceedings. LANTERN 2021 received 11 submissions, all of which were double-blindly reviewed by three highly-qualified reviewers. In total, 5 papers (4 long, 1 short) were accepted to appear in the Proceedings of the workshop, with an acceptance rate of around 55% (comparable to that of the first and second edition, which was around 53% and 57%, respectively).", |
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| "section": "Introduction", |
| "sec_num": null |
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| "text": "Contributions are representative of a broad range of current problems and approaches and include among others a novel approach to image captioning, an approach for zero-shot image classification leveraging external knowledge from Wikipedia as well as a new approach for injecting structured knowledge into vision-and-language transformer models. Such richness of approaches and perspectives is in line with the purpose of the workshop, and confirms the growing interest for the integration of external knowledge for language and vision problems.", |
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| "section": "Introduction", |
| "sec_num": null |
| }, |
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| "text": "The program of the workshop, besides 5 oral paper presentations, includes invited talks by Aida Nematzadeh, Brenden Lake, Danna Gurari, and Sebastian Riedel. The workshop received sponsorship by iDeaL SFB 1102 and HuggingFace, which sponsor a best paper award.", |
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| "section": "Introduction", |
| "sec_num": null |
| } |
| ], |
| "back_matter": [ |
| { |
| "text": "The program of LANTERN 2021 consists of 4 keynotes by invited speakers and 5 contributed talks. The contributed talks will be followed by a virtual break-out session in Gather town. The full program of LANTERN 2021 can be found at https://www.lantern.uni-saarland.de/2021/. ", |
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| "section": "Conference Program", |
| "sec_num": null |
| } |
| ], |
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| } |
| } |
