{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T17:51:19Z","timestamp":1772301079416,"version":"3.50.1"},"reference-count":42,"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"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["860621"],"award-info":[{"award-number":["860621"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3408062","type":"journal-article","created":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T17:38:39Z","timestamp":1717177119000},"page":"138870-138880","source":"Crossref","is-referenced-by-count":2,"title":["TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8764-1174","authenticated-orcid":false,"given":"Ettore","family":"Mariotti","sequence":"first","affiliation":[{"name":"Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Santiago de Compostela, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8819-6735","authenticated-orcid":false,"given":"Anna","family":"Arias-Duart","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center (BSC), Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michele","family":"Cafagna","sequence":"additional","affiliation":[{"name":"University of Malta, Msida, MSD, Malta"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6388-8244","authenticated-orcid":false,"given":"Albert","family":"Gatt","sequence":"additional","affiliation":[{"name":"Utrecht University, Utrecht, CS, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6732-5641","authenticated-orcid":false,"given":"Dario","family":"Garcia-Gasulla","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center (BSC), Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3673-421X","authenticated-orcid":false,"given":"Jose Maria","family":"Alonso-Moral","sequence":"additional","affiliation":[{"name":"Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Santiago de Compostela, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3301275.3308446"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/ail2.61"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101805"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE55066.2022.9882773"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3233\/FAIA220355"},{"key":"ref6","article-title":"\u2018Will you find these shortcuts?\u2019Aprotocol for evaluating the faithfulness of input salience methods for text classification","author":"Bastings","year":"2021","journal-title":"arXiv:2111.07367"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.386"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i9.21196"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.226"},{"key":"ref10","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"70","author":"Sundararajan"},{"key":"ref11","first-page":"1","article-title":"Sanity checks for saliency maps","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Adebayo"},{"key":"ref12","first-page":"9046","article-title":"When explanations lie: Why many modified bp attributions fail","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Sixt"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/417"},{"key":"ref15","first-page":"1","article-title":"Towards robust interpretability with selfexplaining neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Melis"},{"key":"ref16","first-page":"1","article-title":"IROF: A low resource evaluation metric for explanation methods","volume-title":"Proc. ICLR","author":"Rieger"},{"key":"ref17","article-title":"Understanding neural networks through representation erasure","author":"Li","year":"2016","journal-title":"arXiv:1612.08220"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1578"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.40"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1282"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.255"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1059-x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1032"},{"key":"ref25","article-title":"ERASER: A benchmark to evaluate rationalized NLP models","author":"DeYoung","year":"2019","journal-title":"arXiv:1911.03429"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE55066.2022.9882821"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00380"},{"key":"ref29","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"Simonyan","year":"2013","journal-title":"arXiv:1312.6034"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4813"},{"key":"ref31","article-title":"Visualizing the loss landscape of neural nets","author":"Li","year":"2017","journal-title":"arXiv:1712.09913"},{"key":"ref32","article-title":"Extraction of salient sentences from labelled documents","author":"Denil","year":"2014","journal-title":"arXiv:1412.6815"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1515\/9781400867080"},{"key":"ref34","article-title":"Learning important features through propagating activation differences","author":"Shrikumar","year":"2017","journal-title":"arXiv:1704.02685"},{"key":"ref35","article-title":"Towards better understanding of gradient-based attribution methods for deep neural networks","author":"Ancona","year":"2018","journal-title":"arXiv:1711.06104"},{"key":"ref36","first-page":"1","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg"},{"key":"ref37","article-title":"DistilBERT, a distilled version of BERT: Smaller, faster, cheaper and lighter","author":"Sanh","year":"2019","journal-title":"arXiv:1910.01108"},{"key":"ref38","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","volume-title":"Proc. Conf. Empir. Methods Nat. Lang. Process.","author":"Socher"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.5555\/2002472.2002491"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1404"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-15037-1_11"},{"key":"ref42","first-page":"1630","article-title":"M4:Aunified XAI benchmark for faithfulness evaluation of feature attribution methods across metrics, modalities and models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Li"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10543008.pdf?arnumber=10543008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T17:57:22Z","timestamp":1728496642000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10543008\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3408062","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}