{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T15:23:09Z","timestamp":1777562589555,"version":"3.51.4"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031702419","type":"print"},{"value":"9783031702426","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-70242-6_14","type":"book-chapter","created":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T10:03:06Z","timestamp":1726740186000},"page":"139-149","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Coherence Graphs: Bridging the\u00a0Gap in\u00a0Text Segmentation with\u00a0Unsupervised Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9325-1762","authenticated-orcid":false,"given":"Amit","family":"Maraj","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8169-6836","authenticated-orcid":false,"given":"Miguel","family":"Vargas Martin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0287-9568","authenticated-orcid":false,"given":"Masoud","family":"Makrehchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,20]]},"reference":[{"key":"14_CR1","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1162\/tacl_a_00261","volume":"7","author":"S Arnold","year":"2019","unstructured":"Arnold, S., Schneider, R., Cudr\u00e9-Mauroux, P., Gers, F.A., L\u00f6ser, A.: Sector: a neural model for coherent topic segmentation and classification. Trans. Assoc. Comput. Linguist. 7, 169\u2013184 (2019)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"14_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1007\/978-3-319-76941-7_14","volume-title":"Advances in Information Retrieval","author":"P Badjatiya","year":"2018","unstructured":"Badjatiya, P., Kurisinkel, L.J., Gupta, M., Varma, V.: Attention-based neural text segmentation. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds.) ECIR 2018. LNCS, vol. 10772, pp. 180\u2013193. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-76941-7_14"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Barrow, J., Jain, R., Morariu, V., Manjunatha, V., Oard, D.W., Resnik, P.: A joint model for document segmentation and segment labeling. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 313\u2013322 (2020)","DOI":"10.18653\/v1\/2020.acl-main.29"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Beeferman, D., Berger, A.L., Lafferty, J.D.: A model of lexical attraction and repulsion. In: Annual Meeting of the Association for Computational Linguistics (1997)","DOI":"10.3115\/979617.979665"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Brants, T., Chen, F., Tsochantaridis, I.: Topic-based document segmentation with probabilistic latent semantic analysis. In: Proceedings of the Eleventh International Conference on Information and Knowledge Management, pp. 211\u2013218 (2002)","DOI":"10.1145\/584792.584829"},{"key":"14_CR6","unstructured":"Choi, F.Y.Y.: Advances in domain independent linear text segmentation. In: 1st Meeting of the North American Chapter of the Association for Computational Linguistics (2000)"},{"key":"14_CR7","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: North American Chapter of the Association for Computational Linguistics (2019)"},{"issue":"2","key":"14_CR8","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1023\/B:JIIS.0000039534.65423.00","volume":"23","author":"P Fragkou","year":"2004","unstructured":"Fragkou, P., Petridis, V., Kehagias, A.: A dynamic programming algorithm for linear text segmentation. J. Intell. Inf. Syst. 23(2), 179\u2013197 (2004)","journal-title":"J. Intell. Inf. Syst."},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Galley, M., McKeown, K., Fosler-Lussier, E., Jing, H.: Discourse segmentation of multi-party conversation. In: Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, pp. 562\u2013569 (2003)","DOI":"10.3115\/1075096.1075167"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Glava\u0161, G., Nanni, F., Ponzetto, S.P.: Unsupervised text segmentation using semantic relatedness graphs. In: Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, pp. 125\u2013130. Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/S16-2016"},{"issue":"1","key":"14_CR11","first-page":"33","volume":"23","author":"MA Hearst","year":"1997","unstructured":"Hearst, M.A.: Text tiling: segmenting text into multi-paragraph subtopic passages. Comput. Linguist. 23(1), 33\u201364 (1997)","journal-title":"Comput. Linguist."},{"key":"14_CR12","unstructured":"Inan, H., Rungta, R., Mehdad, Y.: Structured summarization: unified text segmentation and segment labeling as a generation task. arXiv preprint arXiv:2209.13759 (2022)"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Koshorek, O., Cohen, A., Mor, N., Rotman, M., Berant, J.: Text Segmentation as a Supervised Learning Task, pp. 469\u2013473. Association for Computational Linguistics, New Orleans (2018)","DOI":"10.18653\/v1\/N18-2075"},{"key":"14_CR14","unstructured":"Lee, J., Han, J., Baek, S., Song, M.: Topic segmentation model focusing on local context. arXiv preprint arXiv:2301.01935 (2023)"},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Lo, K., Jin, Y., Tan, W., Liu, M., Du, L., Buntine, W.: Transformer over pre-trained transformer for neural text segmentation with enhanced topic coherence. arXiv preprint arXiv:2110.07160 (2021)","DOI":"10.18653\/v1\/2021.findings-emnlp.283"},{"key":"14_CR16","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Misra, H., Yvon, F., Jose, J.M., Capp\u00e9, O.: Text segmentation via topic modeling: an analytical study. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, pp. 1553\u20131556 (2009)","DOI":"10.1145\/1645953.1646170"},{"issue":"1","key":"14_CR18","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1162\/089120102317341756","volume":"28","author":"L Pevzner","year":"2002","unstructured":"Pevzner, L., Hearst, M.A.: A critique and improvement of an evaluation metric for text segmentation. Comput. Linguist. 28(1), 19\u201336 (2002)","journal-title":"Comput. Linguist."},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Reimers, N., Gurevych, I.: Sentence-BERT: sentence embeddings using Siamese BERT-networks. arXiv preprint arXiv:1908.10084 (2019)","DOI":"10.18653\/v1\/D19-1410"},{"key":"14_CR20","unstructured":"Riedl, M., Biemann, C.: Topictiling: a text segmentation algorithm based on IDA. In: Proceedings of ACL 2012 Student Research Workshop, pp. 37\u201342 (2012)"},{"key":"14_CR21","doi-asserted-by":"crossref","unstructured":"Somasundaran, S., et\u00a0al.: Two-level transformer and auxiliary coherence modeling for improved text segmentation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a034, pp. 7797\u20137804 (2020)","DOI":"10.1609\/aaai.v34i05.6284"},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Sun, Q., Li, R., Luo, D., Wu, X.: Text segmentation with IDA-based fisher kernel. In: Proceedings of ACL-08: HLT, Short Papers, pp. 269\u2013272 (2008)","DOI":"10.3115\/1557690.1557768"},{"key":"14_CR23","unstructured":"Vaswani, A., et al.: Attention is all you need. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"14_CR24","unstructured":"Xing, L., Huber, P., Carenini, G.: Improving topic segmentation by injecting discourse dependencies. arXiv preprint arXiv:2209.08626 (2022)"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70242-6_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T12:17:13Z","timestamp":1740399433000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70242-6_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031702419","9783031702426"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70242-6_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"20 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLDB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications of Natural Language to Information Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Turin","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nldb2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/nldb2024.di.unito.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}