{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T15:04:05Z","timestamp":1750950245026,"version":"3.40.3"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031812460"},{"type":"electronic","value":"9783031812477"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-81247-7_8","type":"book-chapter","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T13:12:22Z","timestamp":1735650742000},"page":"98-112","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Applying Variational Quantum Classifier on\u00a0Acceptability Judgements: A\u00a0QNLP Experiment"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0106-8635","authenticated-orcid":false,"given":"Raffaele","family":"Guarasci","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Buonaiuto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"De Pietro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimo","family":"Esposito","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,1]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","unstructured":"Bergholm, V., et al.: PennyLane: automatic differentiation of hybrid quantum-classical computations. arXiv e-prints arXiv:1811.04968 (2018). https:\/\/doi.org\/10.48550\/arXiv.1811.04968","DOI":"10.48550\/arXiv.1811.04968"},{"key":"8_CR2","unstructured":"Bonetti, F., Leonardelli, E., Trotta, D., Guarasci, R., Tonelli, S.: Work hard, play hard: collecting acceptability annotations through a 3d game. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 1740\u20131750. European Language Resources Association (2022)"},{"key":"8_CR3","unstructured":"Brown, T., et al.: Language models are few-shot learners. In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H. (eds.) Advances in Neural Information Processing Systems, vol.\u00a033, pp. 1877\u20131901. Curran Associates, Inc. (2020). https:\/\/proceedings.neurips.cc\/paper\/2020\/file\/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf"},{"key":"8_CR4","unstructured":"Chen, S.Y.C., Huang, C.M., Hsing, C.W., Kao, Y.J.: Hybrid quantum-classical classifier based on tensor network and variational quantum circuit. arXiv preprint arXiv:2011.14651 (2020)"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Chi, E.A., Hewitt, J., Manning, C.D.: Finding universal grammatical relations in multilingual bert. arXiv preprint arXiv:2005.04511 (2020)","DOI":"10.18653\/v1\/2020.acl-main.493"},{"key":"8_CR6","unstructured":"Coecke, B., Sadrzadeh, M., Clark, S.: Mathematical foundations for a compositional distributional model of meaning. arXiv preprint arXiv:1003.4394 (2010)"},{"key":"8_CR7","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4171\u20134186. Association for Computational Linguistics, Minneapolis, Minnesota (2019). https:\/\/doi.org\/10.18653\/v1\/N19-1423","DOI":"10.18653\/v1\/N19-1423"},{"key":"8_CR8","doi-asserted-by":"publisher","unstructured":"Du, Y., Huang, T., You, S., Hsieh, M.H., Tao, D.: Quantum circuit architecture search for variational quantum algorithms. NPJ Quantum Inf. 8(1), 62 (2022). https:\/\/doi.org\/10.1038\/s41534-022-00570-y","DOI":"10.1038\/s41534-022-00570-y"},{"issue":"4","key":"8_CR9","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1007\/s11023-020-09548-1","volume":"30","author":"L Floridi","year":"2020","unstructured":"Floridi, L., Chiriatti, M.: GPT-3: its nature, scope, limits, and consequences. Mind. Mach. 30(4), 681\u2013694 (2020)","journal-title":"Mind. Mach."},{"key":"8_CR10","doi-asserted-by":"publisher","unstructured":"Gargiulo, F., et al.: An electra-based model for neural coreference resolution. IEEE Access 10, 75144\u201375157 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3189956. https:\/\/www.scopus.com\/inward\/record.uri?eid=2-s2.0-85134194779&doi=10.1109%2fACCESS.2022.3189956 &partnerID=40 &md5=57417b400106b1a21ff6e21924ed0a61","DOI":"10.1109\/ACCESS.2022.3189956"},{"issue":"11","key":"8_CR11","doi-asserted-by":"publisher","first-page":"5651","DOI":"10.3390\/app12115651","volume":"12","author":"R Guarasci","year":"2022","unstructured":"Guarasci, R., De Pietro, G., Esposito, M.: Quantum natural language processing: challenges and opportunities. Appl. Sci. 12(11), 5651 (2022)","journal-title":"Appl. Sci."},{"key":"8_CR12","doi-asserted-by":"publisher","first-page":"115643","DOI":"10.1109\/ACCESS.2021.3105278","volume":"9","author":"R Guarasci","year":"2021","unstructured":"Guarasci, R., Minutolo, A., Damiano, E., De Pietro, G., Fujita, H., Esposito, M.: Electra for neural coreference resolution in Italian. IEEE Access 9, 115643\u2013115654 (2021)","journal-title":"IEEE Access"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Guarasci, R., Silvestri, S., De\u00a0Pietro, G., Fujita, H., Esposito, M.: Assessing bert\u2019s ability to learn Italian syntax: a study on null-subject and agreement phenomena. J. Ambient Intell. Humanized Comput. 1\u201315 (2021)","DOI":"10.1007\/s12652-021-03297-4"},{"key":"8_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2021.101261","volume":"71","author":"R Guarasci","year":"2022","unstructured":"Guarasci, R., Silvestri, S., De Pietro, G., Fujita, H., Esposito, M.: Bert syntactic transfer: a computational experiment on Italian, French and English languages. Comput. Speech Lang. 71, 101261 (2022)","journal-title":"Comput. Speech Lang."},{"key":"8_CR15","doi-asserted-by":"publisher","unstructured":"Jawahar, G., Sagot, B., Seddah, D.: What does BERT learn about the structure of language? In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 3651\u20133657. ACL, Florence, Italy (2019). https:\/\/doi.org\/10.18653\/v1\/P19-1356. https:\/\/www.aclweb.org\/anthology\/P19-1356","DOI":"10.18653\/v1\/P19-1356"},{"key":"8_CR16","unstructured":"Jentoft, M., Samuel, D.: Nocola: the norwegian corpus of linguistic acceptability. In: Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), pp. 610\u2013617 (2023)"},{"key":"8_CR17","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1162\/tacl_a_00324","volume":"8","author":"Z Jiang","year":"2020","unstructured":"Jiang, Z., Xu, F.F., Araki, J., Neubig, G.: How can we know what language models know? Trans. Assoc. Comput. Linguist. 8, 423\u2013438 (2020)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"8_CR18","unstructured":"Lau, J.H., Clark, A., Lappin, S.: Measuring gradience in speakers\u2019 grammaticality judgements. In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol.\u00a036 (2014)"},{"key":"8_CR19","doi-asserted-by":"publisher","unstructured":"Lee, K., He, L., Lewis, M., Zettlemoyer, L.: End-to-end neural coreference resolution. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 188\u2013197. Association for Computational Linguistics, Copenhagen, Denmark (2017). https:\/\/doi.org\/10.18653\/v1\/D17-1018. https:\/\/aclanthology.org\/D17-1018","DOI":"10.18653\/v1\/D17-1018"},{"key":"8_CR20","unstructured":"Li, G., Zhao, X., Wang, X.: Quantum self-attention neural networks for text classification. arXiv preprint arXiv:2205.05625 (2022)"},{"key":"8_CR21","unstructured":"Li, Q., Wang, B., Zhu, Y., Lioma, C., Liu, Q.: Adapting pre-trained language models for quantum natural language processing. arXiv preprint arXiv:2302.13812 (2023)"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Linzen, T.: What can linguistics and deep learning contribute to each other? Response to pater. Language 95(1) (2019)","DOI":"10.1353\/lan.2019.0015"},{"key":"8_CR23","unstructured":"Lloyd, S., Schuld, M., Ijaz, A., Izaac, J., Killoran, N.: Quantum embeddings for machine learning. arXiv preprint arXiv:2001.03622 (2020)"},{"key":"8_CR24","doi-asserted-by":"publisher","first-page":"340","DOI":"10.22331\/q-2020-10-09-340","volume":"4","author":"A Mari","year":"2020","unstructured":"Mari, A., Bromley, T.R., Izaac, J., Schuld, M., Killoran, N.: Transfer learning in hybrid classical-quantum neural networks. Quantum 4, 340 (2020)","journal-title":"Quantum"},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Marvin, R., Linzen, T.: Targeted syntactic evaluation of language models. In: Proceedings of the Society for Computation in Linguistics (SCiL), pp. 373\u2013374 (2019)","DOI":"10.18653\/v1\/D18-1151"},{"key":"8_CR26","unstructured":"Meichanetzidis, K., Toumi, A., de\u00a0Felice, G., Coecke, B.: Grammar-aware question-answering on quantum computers. arXiv preprint arXiv:2012.03756 (2020)"},{"key":"8_CR27","doi-asserted-by":"crossref","unstructured":"Mikhailov, V., Shamardina, T., Ryabinin, M., Pestova, A., Smurov, I., Artemova, E.: Rucola: Russian corpus of linguistic acceptability. arXiv preprint arXiv:2210.12814 (2022)","DOI":"10.18653\/v1\/2022.emnlp-main.348"},{"issue":"24","key":"8_CR28","doi-asserted-by":"publisher","first-page":"22493","DOI":"10.1007\/s00521-022-07641-3","volume":"34","author":"A Minutolo","year":"2022","unstructured":"Minutolo, A., Guarasci, R., Damiano, E., De Pietro, G., Fujita, H., Esposito, M.: A multi-level methodology for the automated translation of a coreference resolution dataset: an application to the Italian language. Neural Comput. Appl. 34(24), 22493\u201322518 (2022). https:\/\/doi.org\/10.1007\/s00521-022-07641-3","journal-title":"Neural Comput. Appl."},{"issue":"10","key":"8_CR29","doi-asserted-by":"publisher","first-page":"1872","DOI":"10.1007\/s11431-020-1647-3","volume":"63","author":"X Qiu","year":"2020","unstructured":"Qiu, X., Sun, T., Xu, Y., Shao, Y., Dai, N., Huang, X.: Pre-trained models for natural language processing: a survey. SCIENCE CHINA Technol. Sci. 63(10), 1872\u20131897 (2020)","journal-title":"SCIENCE CHINA Technol. Sci."},{"key":"8_CR30","doi-asserted-by":"crossref","unstructured":"Reimers, N., Gurevych, I.: Sentence-bert: sentence embeddings using siamese bert-networks. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (2019). https:\/\/arxiv.org\/abs\/1908.10084","DOI":"10.18653\/v1\/D19-1410"},{"key":"8_CR31","doi-asserted-by":"crossref","unstructured":"Schuld, M., Petruccione, F., Schuld, M., Petruccione, F.: Quantum models as kernel methods. In: Machine Learning with Quantum Computers, pp. 217\u2013245 (2021)","DOI":"10.1007\/978-3-030-83098-4_6"},{"key":"8_CR32","doi-asserted-by":"crossref","unstructured":"Someya, T., Oseki, Y.: Jblimp: Japanese benchmark of linguistic minimal pairs. In: Findings of the Association for Computational Linguistics: EACL 2023, pp. 1536\u20131549 (2023)","DOI":"10.18653\/v1\/2023.findings-eacl.117"},{"key":"8_CR33","doi-asserted-by":"crossref","unstructured":"Sordoni, A., Nie, J.Y., Bengio, Y.: Modeling term dependencies with quantum language models for IR. In: Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 653\u2013662 (2013)","DOI":"10.1145\/2484028.2484098"},{"key":"8_CR34","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1007\/978-3-030-32381-3_16","volume-title":"Chinese Computational Linguistics","author":"C Sun","year":"2019","unstructured":"Sun, C., Qiu, X., Xu, Y., Huang, X.: How to fine-tune BERT for text classification? In: Sun, M., Huang, X., Ji, H., Liu, Z., Liu, Y. (eds.) CCL 2019. LNCS (LNAI), vol. 11856, pp. 194\u2013206. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-32381-3_16"},{"key":"8_CR35","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1146\/annurev-conmatphys-031119-050651","volume":"11","author":"G Torlai","year":"2020","unstructured":"Torlai, G., Melko, R.G.: Machine-learning quantum states in the NISQ era. Ann. Rev. Condensed Matter Phys. 11, 325\u2013344 (2020)","journal-title":"Ann. Rev. Condensed Matter Phys."},{"key":"8_CR36","doi-asserted-by":"crossref","unstructured":"Trotta, D., Guarasci, R., Leonardelli, E., Tonelli, S.: Monolingual and cross-lingual acceptability judgments with the Italian CoLA corpus. In: Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 2929\u20132940. Association for Computational Linguistics, Punta Cana, Dominican Republic (2021). https:\/\/aclanthology.org\/2021.findings-emnlp.250","DOI":"10.18653\/v1\/2021.findings-emnlp.250"},{"key":"8_CR37","unstructured":"Volodina, E., Mohammed, Y.A., Klezl, J.: DaLAJ \u2013 a dataset for linguistic acceptability judgments for Swedish. In: Proceedings of the 10th Workshop on NLP for Computer Assisted Language Learning, pp. 28\u201337. LiU Electronic Press, Online (2021). https:\/\/aclanthology.org\/2021.nlp4call-1.3"},{"key":"8_CR38","doi-asserted-by":"publisher","unstructured":"Wang, A., Singh, A., Michael, J., Hill, F., Levy, O., Bowman, S.: GLUE: a multi-task benchmark and analysis platform for natural language understanding (2018). https:\/\/doi.org\/10.18653\/v1\/W18-5446. https:\/\/aclanthology.org\/W18-5446","DOI":"10.18653\/v1\/W18-5446"},{"key":"8_CR39","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1162\/tacl_a_00290","volume":"7","author":"A Warstadt","year":"2019","unstructured":"Warstadt, A., Singh, A., Bowman, S.R.: Neural network acceptability judgments. Trans. Assoc. Comput. Linguist. 7, 625\u2013641 (2019). https:\/\/doi.org\/10.1162\/tacl_a_00290","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"8_CR40","doi-asserted-by":"publisher","unstructured":"Xiang, B., Yang, C., Li, Y., Warstadt, A., Kann, K.: CLiMP: a benchmark for Chinese language model evaluation. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pp. 2784\u20132790. Association for Computational Linguistics, Online (2021). https:\/\/doi.org\/10.18653\/v1\/2021.eacl-main.242. https:\/\/aclanthology.org\/2021.eacl-main.242","DOI":"10.18653\/v1\/2021.eacl-main.242"},{"key":"8_CR41","unstructured":"Zhu, J., et al.: Incorporating bert into neural machine translation. In: International Conference on Learning Representations (2019)"}],"container-title":["Lecture Notes in Computer Science","Numerical Computations: Theory and Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-81247-7_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T14:09:32Z","timestamp":1735654172000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-81247-7_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031812460","9783031812477"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-81247-7_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"1 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NUMTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Numerical Computations: Theory and Algorithms","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pizzo Calabro","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"numta2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.numta.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}