Publication: UKP-SQUARE: an online platform for question answering research
dc.contributor.coauthor | Baumgaertner, Tim | |
dc.contributor.coauthor | Wang, Kexin | |
dc.contributor.coauthor | Sachdeva, Rachneet | |
dc.contributor.coauthor | Eichler, Max | |
dc.contributor.coauthor | Geigle, Gregor | |
dc.contributor.coauthor | Poth, Clifton | |
dc.contributor.coauthor | Sterz, Hannah | |
dc.contributor.coauthor | Puerto, Haritz | |
dc.contributor.coauthor | Ribeiro, Leonardo F. R. | |
dc.contributor.coauthor | Pfeiffer, Jonas | |
dc.contributor.coauthor | Reimers, Nils | |
dc.contributor.coauthor | Gurevych, Iryna | |
dc.contributor.department | Department of Computer Engineering | |
dc.contributor.kuauthor | Şahin, Gözde Gül | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.other | Department of Computer Engineering | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.yokid | 366984 | |
dc.date.accessioned | 2024-11-09T23:43:49Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Recent advances in NLP and information retrieval have given rise to a diverse set of question answering tasks that are of different formats (e.g., extractive, abstractive), require different model architectures (e.g., generative, discriminative), and setups (e.g., with or without retrieval). Despite having a large number of powerful, specialized QA pipelines (which we refer to as Skills) that consider a single domain, model or setup, there exists no framework where users can easily explore and compare such pipelines and can extend them according to their needs. To address this issue, we present UKP-SQUARE, an extensible online QA platform for researchers which allows users to query and analyze a large collection of modern Skills via a user-friendly web interface and integrated behavioural tests. In addition, QA researchers can develop, manage, and share their custom Skills using our microservices that support a wide range of models (Transformers, Adapters, ONNX), data-stores and retrieval techniques (e.g., sparse and dense). UKP-SQUARE is available on https://square.ukp-lab.de.(1) | |
dc.description.indexedby | WoS | |
dc.description.openaccess | NO | |
dc.description.publisherscope | International | |
dc.description.sponsorship | German Research Foundation (DFG) as part of the UKPSQuARE project [GU 798/29-1] | |
dc.description.sponsorship | DFG [GU 798/25-1, GU 798/18-3, GRK 1994/1] | |
dc.description.sponsorship | European Regional Development Fund (ERDF) | |
dc.description.sponsorship | Hessian State Chancellery-Hessian Minister of Digital Strategy and Development [20005482] | |
dc.description.sponsorship | LOEWE initiative (Hesse, Germany) within the emergenCITY center | |
dc.description.sponsorship | Priority Program "Robust Argumentation Machines (RATIO)" (SPP-1999) This work has been funded by: (i) the German Research Foundation (DFG) as part of the UKPSQuARE project (grant GU 798/29-1), (ii) the DFG as part of the QASciInf project (GU 798/18-3), (iii) the DFG within the project "Open Argument Mining" (GU 798/25-1), associated with the Priority Program "Robust Argumentation Machines (RATIO)" (SPP-1999), (iv) the DFG-funded research training group "Adaptive Preparation of Information form Heterogeneous Sources" (AIPHES, GRK 1994/1), (v) the European Regional Development Fund (ERDF) and the Hessian State Chancellery-Hessian Minister of Digital Strategy and Development under the promotional reference 20005482 (TexPrax), and (vi) the LOEWE initiative (Hesse, Germany) within the emergenCITY center. | |
dc.identifier.doi | 10.48550/arXiv.2203.13693 | |
dc.identifier.eissn | N/A | |
dc.identifier.isbn | 978-1-955917-24-7 | |
dc.identifier.issn | N/A | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-85149107654 | |
dc.identifier.uri | http://dx.doi.org/10.48550/arXiv.2203.13693 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/13559 | |
dc.identifier.wos | 828759800002 | |
dc.keywords | Computer science, artificial intelligence | |
dc.keywords | Linguistics | |
dc.language | English | |
dc.publisher | Assoc Computational Linguistics-Acl | |
dc.source | Proceedings of The 60th Annual Meeting of The Association for Computational Linguistics (ACL 2022): Proceedings of System Demonstrations | |
dc.subject | Computer Science | |
dc.subject | Artificial intelligence | |
dc.subject | Linguistics | |
dc.title | UKP-SQUARE: an online platform for question answering research | |
dc.type | Conference proceeding | |
dspace.entity.type | Publication | |
local.contributor.authorid | 0000-0002-0332-1657 | |
local.contributor.kuauthor | Şahin, Gözde Gül | |
relation.isOrgUnitOfPublication | 89352e43-bf09-4ef4-82f6-6f9d0174ebae | |
relation.isOrgUnitOfPublication.latestForDiscovery | 89352e43-bf09-4ef4-82f6-6f9d0174ebae |