{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T07:10:03Z","timestamp":1755846603661,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T00:00:00Z","timestamp":1671148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,12,16]]},"DOI":"10.1145\/3582768.3582794","type":"proceedings-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T19:48:32Z","timestamp":1687895312000},"page":"144-151","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["An Analogy based Approach for Solving Target Sense Verification"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3015-2238","authenticated-orcid":false,"given":"Georgios","family":"Zervakis","sequence":"first","affiliation":[{"name":"LORIA, Universit\u00e9 de Lorraine, INRIA, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0183-7289","authenticated-orcid":false,"given":"Emmanuel","family":"Vincent","sequence":"additional","affiliation":[{"name":"LORIA, INRIA, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2316-7623","authenticated-orcid":false,"given":"Miguel","family":"Couceiro","sequence":"additional","affiliation":[{"name":"LORIA, Universit\u00e9 de Lorraine, CNRS, INRIA, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1450-6830","authenticated-orcid":false,"given":"Marc","family":"Schoenauer","sequence":"additional","affiliation":[{"name":"LRI, Universit\u00e9 Paris Sud, INRIA, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2315-7732","authenticated-orcid":false,"given":"Esteban","family":"Marquer","sequence":"additional","affiliation":[{"name":"LORIA, Universit\u00e9 de Lorraine, France"}]}],"member":"320","published-online":{"date-parts":[[2023,6,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","unstructured":"Stergos\u00a0D. Afantenos Tarek Kunze Suryani Lim Henri Prade and Gilles Richard. 2021. Analogies Between Sentences: Theoretical Aspects - Preliminary Experiments. In ECSQARU Vol.\u00a012897. 3\u201318. https:\/\/doi.org\/10.1007\/978-3-030-86772-0_1","DOI":"10.1007\/978-3-030-86772-0_1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","unstructured":"Safa Alsaidi Amandine Decker Puthineath Lay Esteban Marquer Pierre-Alexandre Murena and Miguel Couceiro. 2021. A Neural Approach for Detecting Morphological Analogies. In DSAA. 1\u201310. https:\/\/doi.org\/10.1109\/DSAA53316.2021.9564186","DOI":"10.1109\/DSAA53316.2021.9564186"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Safa Alsaidi Amandine Decker Puthineath Lay Esteban Marquer Pierre-Alexandre Murena and Miguel Couceiro. 2021. On the Transferability of Neural Models of Morphological Analogies. In AIMLAI(CCIS Vol.\u00a01524). 76\u201389.","DOI":"10.1007\/978-3-030-93736-2_7"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","unstructured":"Livio Baldini\u00a0Soares Nicholas FitzGerald Jeffrey Ling and Tom Kwiatkowski. 2019. Matching the Blanks: Distributional Similarity for Relation Learning. In ACL. 2895\u20132905. https:\/\/doi.org\/10.18653\/v1\/P19-1279","DOI":"10.18653\/v1\/P19-1279"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"Anna Breit Artem Revenko Kiamehr Rezaee Mohammad\u00a0Taher Pilehvar and Jos\u00e9 Camacho-Collados. 2021. WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context. In EACL: Main Volume. 1635\u20131645. https:\/\/doi.org\/10.18653\/v1\/2021.eacl-main.140","DOI":"10.18653\/v1\/2021.eacl-main.140"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1423"},{"key":"e_1_3_2_1_7_1","unstructured":"Rashel Fam and Yves Lepage. 2018. Tools for The Production of Analogical Grids and a Resource of N-gram Analogical Grids in 11 Languages. In LREC. 1060\u20131066."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","unstructured":"Evan Hernandez and Jacob Andreas. 2021. The Low-Dimensional Linear Geometry of Contextualized Word Representations. In ACL. 82\u201393. https:\/\/doi.org\/10.18653\/v1\/2021.conll-1.7","DOI":"10.18653\/v1\/2021.conll-1.7"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","unstructured":"Luyao Huang Chi Sun Xipeng Qiu and Xuanjing Huang. 2019. GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge. In EMNLP-IJCNLP. 3507\u20133512. https:\/\/doi.org\/10.18653\/v1\/D19-1355","DOI":"10.18653\/v1\/D19-1355"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","unstructured":"E. H\u00fcllermeier. 2020. Towards Analogy-Based Explanations in Machine Learning. In MDAI Vol.\u00a012256. 205\u2013217. https:\/\/doi.org\/10.1007\/978-3-030-57524-3_17","DOI":"10.1007\/978-3-030-57524-3_17"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58342-2_11"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Philippe Langlais Fran\u00e7ois Yvon and Pierre Zweigenbaum. 2009. Improvements in Analogical Learning: Application to Translating Multi-Terms of the Medical Domain. In EACL. 487\u2013495.","DOI":"10.3115\/1609067.1609121"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1571-0661(05)82582-4"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","unstructured":"Suryani Lim Henri Prade and Gilles Richard. 2019. Solving word analogies: A machine learning perspective. In ECSQARU Vol.\u00a011726. 238\u2013250. https:\/\/doi.org\/10.1007\/978-3-030-29765-7_20","DOI":"10.1007\/978-3-030-29765-7_20"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","unstructured":"Nelson\u00a0F. Liu Matt Gardner Yonatan Belinkov Matthew\u00a0E. Peters and Noah\u00a0A. Smith. 2019. Linguistic knowledge and transferability of contextual representations. In NAACL-HLT Vol.\u00a01. 1073\u20131094. https:\/\/doi.org\/10.18653\/v1\/n19-1112","DOI":"10.18653\/v1\/n19-1112"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","unstructured":"Qianchu Liu Fangyu Liu Nigel Collier Anna Korhonen and Ivan Vulic. 2021. MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models. In CoNLL. 562\u2013574. https:\/\/doi.org\/10.18653\/v1\/2021.conll-1.44","DOI":"10.18653\/v1\/2021.conll-1.44"},{"key":"e_1_3_2_1_17_1","unstructured":"Tom\u00e1s Mikolov Wen-tau Yih and Geoffrey Zweig. 2013. Linguistic Regularities in Continuous Space Word Representations. In NAACL. 746\u2013751."},{"key":"e_1_3_2_1_18_1","unstructured":"Jose\u00a0G Moreno Elvys\u00a0Linhares Pontes and Ga\u00ebl Dias. 2021. CTLR@WiC-TSV: Target Sense Verification using Marked Inputs and Pre-trained Models. In SemDeep-6. 1\u20136."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","unstructured":"Pierre-Alexandre Murena Marie Al-Ghossein Jean-Louis Dessalles and Antoine Cornu\u00e9jols. 2020. Solving Analogies on Words based on Minimal Complexity Transformation. In IJCAI. 1848\u20131854. https:\/\/doi.org\/10.24963\/ijcai.2020\/256","DOI":"10.24963\/ijcai.2020\/256"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","unstructured":"Matthew\u00a0E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee and Luke Zettlemoyer. 2018. Deep Contextualized Word Representations. In NAACL Vol.\u00a01. 2227\u20132237. https:\/\/doi.org\/10.18653\/v1\/N18-1202","DOI":"10.18653\/v1\/N18-1202"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","unstructured":"Julia Peyre Josef Sivic Ivan Laptev and Cordelia Schmid. 2019. Detecting Unseen Visual Relations Using Analogies. In ICCV. 1981\u20131990. https:\/\/doi.org\/10.1109\/ICCV.2019.00207","DOI":"10.1109\/ICCV.2019.00207"},{"key":"e_1_3_2_1_22_1","unstructured":"Emily Reif Ann Yuan Martin Wattenberg Fernanda\u00a0B. Vi\u00e9gas Andy Coenen Adam Pearce and Been Kim. 2019. Visualizing and Measuring the Geometry of BERT. In NeurIPS Vol.\u00a032. 8592\u20138600."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00349"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00342"},{"key":"e_1_3_2_1_25_1","unstructured":"Ian Tenney Patrick Xia Berlin Chen Alex Wang Adam Poliak R\u00a0Thomas McCoy Najoung Kim Benjamin Van\u00a0Durme Samuel\u00a0R Bowman Dipanjan Das 2019. What do you learn from context? probing for sentence structure in contextualized word representations. arXiv preprint arXiv:1905.06316(2019)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Asahi Ushio Jos\u00e9 Camacho-Collados and Steven Schockaert. 2021. Distilling Relation Embeddings from Pre-trained Language Models. In EMNLP. 9044\u20139062.","DOI":"10.18653\/v1\/2021.emnlp-main.712"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","unstructured":"Asahi Ushio Luis Espinosa\u00a0Anke Steven Schockaert and Jose Camacho-Collados. 2021. BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?. In ACL-IJCNLP Vol.\u00a01. 3609\u20133624. https:\/\/doi.org\/10.18653\/v1\/2021.acl-long.280","DOI":"10.18653\/v1\/2021.acl-long.280"},{"key":"e_1_3_2_1_28_1","unstructured":"Pierre-Yves Vandenbussche Tony Scerri and Ron Daniel\u00a0Jr. 2021. Word Sense Disambiguation with Transformer Models. In SemDeep-6. 7\u201312."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2019.12.014"}],"event":{"name":"NLPIR 2022: 2022 6th International Conference on Natural Language Processing and Information Retrieval","acronym":"NLPIR 2022","location":"Bangkok Thailand"},"container-title":["Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582768.3582794","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3582768.3582794","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T06:55:22Z","timestamp":1755845722000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582768.3582794"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,16]]},"references-count":29,"alternative-id":["10.1145\/3582768.3582794","10.1145\/3582768"],"URL":"https:\/\/doi.org\/10.1145\/3582768.3582794","relation":{},"subject":[],"published":{"date-parts":[[2022,12,16]]},"assertion":[{"value":"2023-06-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}