{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T03:04:56Z","timestamp":1768619096784,"version":"3.49.0"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"24","license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"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":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-18063-1","type":"journal-article","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T06:01:51Z","timestamp":1705039311000},"page":"64065-64078","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-task metaphor detection based on linguistic theory"],"prefix":"10.1007","volume":"83","author":[{"given":"Ziqi","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3525-5102","authenticated-orcid":false,"given":"Shengwei","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,12]]},"reference":[{"key":"18063_CR1","unstructured":"Lakoff G, Johnson M (2008) Metaphors we live by. University of Chicago press, Chicago"},{"key":"18063_CR2","doi-asserted-by":"crossref","unstructured":"Li Z, Zhou Q, Li C et al (2020) Improving BERT with syntax-aware local attention. arXiv preprint arXiv:2012.15150","DOI":"10.18653\/v1\/2021.findings-acl.57"},{"key":"18063_CR3","doi-asserted-by":"crossref","unstructured":"Gao T, Yao X, Chen D (2021) Simcse: simple contrastive learning of sentence embeddings. arXiv preprint arXiv:2104.08821","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"18063_CR4","doi-asserted-by":"crossref","unstructured":"Klebanov B B, Leong C W, Flor M (2018) A corpus of non-native written English annotated for metaphor[C]\/\/Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pp 86\u201391","DOI":"10.18653\/v1\/N18-2014"},{"key":"18063_CR5","doi-asserted-by":"crossref","unstructured":"Gao G, Choi E, Choi Y et al (2018) Neural metaphor detection in context. arXiv preprint arXiv:1808.09653","DOI":"10.18653\/v1\/D18-1060"},{"key":"18063_CR6","doi-asserted-by":"crossref","unstructured":"Mao R, Lin C, Guerin F (2019) End-to-end sequential metaphor identification inspired by linguistic theories[C]\/\/Proceedings of the 57th annual meeting of the association for computational linguistics, pp 3888\u20133898","DOI":"10.18653\/v1\/P19-1378"},{"key":"18063_CR7","doi-asserted-by":"crossref","unstructured":"Wu C, Wu F, Chen Y et al (2018) Neural metaphor detecting with CNN-LSTM model[C]\/\/Proceedings of the workshop on figurative language processing, pp 110\u2013114","DOI":"10.18653\/v1\/W18-0913"},{"issue":"5\u20136","key":"18063_CR8","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.neunet.2005.06.042","volume":"18","author":"A Graves","year":"2005","unstructured":"Graves A, Schmidhuber J (2005) Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Netw 18(5\u20136):602\u2013610","journal-title":"Neural Netw"},{"key":"18063_CR9","doi-asserted-by":"crossref","unstructured":"Group P (2007) MIP: a method for identifying metaphorically used words in discourse. Metaphor Symbol 22(1):1\u201339","DOI":"10.1207\/s15327868ms2201_1"},{"issue":"1","key":"18063_CR10","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0004-3702(75)90016-8","volume":"6","author":"Y Wilks","year":"1975","unstructured":"Wilks Y (1975) A preferential, pattern-seeking, semantics for natural language inference. Artif Intell 6(1):53\u201374","journal-title":"Artif Intell"},{"issue":"3","key":"18063_CR11","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/0004-3702(78)90001-2","volume":"11","author":"Y Wilks","year":"1978","unstructured":"Wilks Y (1978) Making preferences more active. Artif intell 11(3):197\u2013223","journal-title":"Artif intell"},{"key":"18063_CR12","doi-asserted-by":"crossref","unstructured":"Choi M, Lee S, Choi E et al (2021) MelBERT: metaphor detection via contextualized late interaction using metaphorical identification theories. arXiv preprint arXiv:2104.13615","DOI":"10.18653\/v1\/2021.naacl-main.141"},{"key":"18063_CR13","doi-asserted-by":"crossref","unstructured":"Rai S, Chakraverty S, Tayal D K (2016) Supervised metaphor detection using conditional random fields[C]\/\/Proceedings of the Fourth Workshop on Metaphor in NLP, pp 18\u201327","DOI":"10.18653\/v1\/W16-1103"},{"key":"18063_CR14","unstructured":"Devlin J, Chang M W, Lee K et al (2018) Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805"},{"key":"18063_CR15","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.neucom.2016.09.030","volume":"219","author":"C Su","year":"2017","unstructured":"Su C, Huang S, Chen Y (2017) Automatic detection and interpretation of nominal metaphor based on the theory of meaning. Neurocomputing 219:300\u2013311","journal-title":"Neurocomputing"},{"issue":"1","key":"18063_CR16","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1162\/COLI_a_00275","volume":"43","author":"E Shutova","year":"2017","unstructured":"Shutova E, Sun L, Guti\u00e9rrez ED et al (2017) Multilingual metaphor processing: experiments with semi-supervised and unsupervised learning. Comput Linguist 43(1):71\u2013123","journal-title":"Comput Linguist"},{"key":"18063_CR17","doi-asserted-by":"crossref","unstructured":"Swarnkar K, Singh AK (2018) Di-LSTM contrast: a deep neural network for metaphor detection[C]\/\/Proceedings of the Workshop on Figurative Language Processing, pp 115\u2013120","DOI":"10.18653\/v1\/W18-0914"},{"key":"18063_CR18","doi-asserted-by":"crossref","unstructured":"Pramanick M, Gupta A, Mitra P (2018) An lstm-crf based approach to token-level metaphor detection[C]\/\/Proceedings of the Workshop on Figurative Language Processing, pp 67\u201375","DOI":"10.18653\/v1\/W18-0908"},{"key":"18063_CR19","doi-asserted-by":"crossref","unstructured":"Mosolova A, Bondarenko I, Fomin V (2018) Conditional random fields for metaphor detection[C]\/\/Proceedings of the Workshop on Figurative Language Processing, pp 121\u2013123","DOI":"10.18653\/v1\/W18-0915"},{"key":"18063_CR20","doi-asserted-by":"crossref","unstructured":"Su C, Fukumoto F, Huang X et al (2020) DeepMet: a reading comprehension paradigm for token-level metaphor detection[C]\/\/Proceedings of the second workshop on figurative language processing, pp 30\u201339","DOI":"10.18653\/v1\/2020.figlang-1.4"},{"key":"18063_CR21","doi-asserted-by":"crossref","unstructured":"Li S, Zeng J, Zhang J et al (2020) Albert-BiLSTM for sequential metaphor detection[C]\/\/Proceedings of the Second Workshop on Figurative Language Processing, pp 110\u2013115","DOI":"10.18653\/v1\/2020.figlang-1.17"},{"key":"18063_CR22","doi-asserted-by":"crossref","unstructured":"Liu J, O\u2019Hara N, Rubin A et al (2020) Metaphor detection using contextual word embeddings from transformers[C]\/\/Proceedings of the Second Workshop on Figurative Language Processing, pp 250\u2013255","DOI":"10.18653\/v1\/2020.figlang-1.34"},{"key":"18063_CR23","unstructured":"(2010) A method for linguistic metaphor identification: from MIP to MIPVU. John Benjamins Publishing, Amsterdam"},{"key":"18063_CR24","doi-asserted-by":"crossref","unstructured":"Mohammad S, Shutova E, Turney P (2016) Metaphor as a medium for emotion: an empirical study[C]\/\/Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, pp 23\u201333","DOI":"10.18653\/v1\/S16-2003"},{"key":"18063_CR25","unstructured":"Birke J, Sarkar A (2006) A clustering approach for nearly unsupervised recognition of nonliteral language[C]\/\/11th Conference of the European Chapter of the Association for Computational Linguistics, pp 329\u2013336"},{"key":"18063_CR26","unstructured":"Liu Y, Ott M, Goyal N et al (2019) Roberta: a robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692"},{"key":"18063_CR27","doi-asserted-by":"crossref","unstructured":"Song W, Zhou S, Fu R et al (2021) Verb metaphor detection via contextual relation learning[C]\/\/Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp 4240\u20134251","DOI":"10.18653\/v1\/2021.acl-long.327"},{"key":"18063_CR28","unstructured":"Zhang S, Liu Y (2022) Metaphor detection via linguistics enhanced Siamese network[C]\/\/Proceedings of the 29th International Conference on Computational Linguistics, pp 4149\u20134159"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-18063-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-18063-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-18063-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T22:58:48Z","timestamp":1731020328000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-18063-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"references-count":28,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2024,7]]}},"alternative-id":["18063"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-18063-1","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]},"assertion":[{"value":"29 September 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 December 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that we have no known competing financial interests or personal relationships that could influence the work reported in this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}