{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T12:08:56Z","timestamp":1753272536266,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9377731","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T21:10:21Z","timestamp":1616188221000},"page":"4437-4445","source":"Crossref","is-referenced-by-count":2,"title":["Causal Maps for Multi-Document Summarization"],"prefix":"10.1109","author":[{"given":"Sasha","family":"Strelnikoff","sequence":"first","affiliation":[]},{"given":"Aruna","family":"Jammalamadaka","sequence":"additional","affiliation":[]},{"given":"Dana","family":"Warmsley","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"article-title":"Relaxed precision and recall for ontology matching","year":"2005","author":"ehrig","key":"ref33"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1002\/asi.5090060209","article-title":"Machine literature searching viii. operational criteria for designing information retrieval systems","volume":"6","author":"allen","year":"1955","journal-title":"Amer Documentation (pre-1986)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-3348"},{"key":"ref30","first-page":"74","article-title":"Rouge: A package for automatic evaluation of summaries","author":"lin","year":"2004","journal-title":"Text Summarization Branches Out"},{"key":"ref36","first-page":"404","article-title":"Textrank: Bringing order into text","author":"mihalcea","year":"2004","journal-title":"Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.2307\/2532201"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289447"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.111.1.3"},{"article-title":"Nela-gt-2019: A large multi-labelled news dataset for the study of misinformation in news articles","year":"2020","author":"gruppi","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/584792.584914"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1727043"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"article-title":"Verbnet: A broad-coverage, comprehensive verb lexicon","year":"2005","author":"schuler","key":"ref15"},{"key":"ref16","first-page":"801","article-title":"Concept-map-based multi-document summarization using concept coreference resolution and global importance optimization","author":"falke","year":"2017","journal-title":"Proceedings of the Eighth International Joint Conference on Natural Language Processing"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1074"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1196"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-5010"},{"article-title":"Bringing structure into summaries: Crowd-sourcing a benchmark corpus of concept maps","year":"2017","author":"falke","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358068"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"ref3","first-page":"69","article-title":"Enhancing web searches from concept map-based knowledge models","author":"carvalho","year":"2001","journal-title":"Proceedings of SCI 2001 Fifth Multiconference on Systems Cybernetics and Informatics"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3102\/00346543076003413"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914682"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1518701.1518704"},{"key":"ref8","article-title":"Deriving revealed causal maps from non-traditional source documents: Challenges and methodological extensions","author":"kemmerer","year":"2001","journal-title":"annual meeting of the Academy of Management"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401312"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139173469"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018707"},{"article-title":"The digitization of the world from edge to core","year":"2018","author":"rydning","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00050"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-0812"},{"key":"ref21","first-page":"42","article-title":"Eidos, indra, & delphi: From free text to executable causal models","author":"sharp","year":"2019","journal-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)"},{"article-title":"Evaluation of sentence embeddings in downstream and linguistic probing tasks","year":"2018","author":"perone","key":"ref24"},{"article-title":"Universal sentence encoder","year":"2018","author":"cer","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2020.1740713"},{"key":"ref25","first-page":"420","article-title":"Algorithms for clustering on the sphere: Advances & applications","volume":"1","author":"golzy","year":"2016","journal-title":"Proceedings of the World Congress on Engineering and Computer Science"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2020,12,10]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09377731.pdf?arnumber=9377731","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:58:12Z","timestamp":1656345492000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9377731\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9377731","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}