{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T19:03:32Z","timestamp":1767035012455},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207662","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-9","source":"Crossref","is-referenced-by-count":8,"title":["Answering Binary Causal Questions: A Transfer Learning Based Approach"],"prefix":"10.1109","author":[{"given":"Humayun","family":"Kayesh","sequence":"first","affiliation":[]},{"given":"Md.","family":"Saiful Islam","sequence":"additional","affiliation":[]},{"given":"Junhu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shikha","family":"Anirban","sequence":"additional","affiliation":[]},{"given":"A.S.M.","family":"Kayes","sequence":"additional","affiliation":[]},{"given":"Paul","family":"Watters","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/PDCAT46702.2019.00070"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-35231-8_23"},{"key":"ref12","article-title":"Google’s neural machine translation system: Bridging the gap between human and machine translation","author":"wu","year":"2016","journal-title":"CoRR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3115\/1119312.1119322"},{"key":"ref14","first-page":"42","article-title":"What do a million news articles look like?","author":"corney","year":"2016","journal-title":"NewsIR"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"devlin","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.11"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3115\/1621969.1621986"},{"year":"2017","key":"ref18","article-title":"Stratigic Foresight Analysis 2017 report"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11304","article-title":"An ai planning solution to scenario generation for enterprise risk management","author":"sohrabi","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref4","first-page":"421","article-title":"Commonsense Causal Reasoning between Short Texts","author":"luo","year":"2016","journal-title":"KR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-0707"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-5035"},{"key":"ref5","article-title":"Handling Multiword Expressions in Causality Estimation","author":"sasaki","year":"2017","journal-title":"IWCS"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1014"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/695"},{"key":"ref2","first-page":"21","article-title":"Toward a better understanding of causality between verbal events: Extraction and analysis of the causal power of verb-verb associations","author":"riaz","year":"2013","journal-title":"SIGdial"},{"article-title":"On event causality detection in tweets","year":"2019","author":"kayesh","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187958"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3233\/AIC-180602"},{"article-title":"Billion-scale similarity search with gpus","year":"2017","author":"johnson","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"article-title":"Roberta: A robustly optimized bert pretraining approach","year":"2019","author":"liu","key":"ref24"},{"key":"ref23","article-title":"Huggingface’s transformers: State-of-the-art natural language processing","author":"wolf","year":"2019","journal-title":"ArXiv"},{"article-title":"Albert: A lite bert for self-supervised learning of language representations","year":"2019","author":"lan","key":"ref26"},{"article-title":"Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter","year":"2019","author":"sanh","key":"ref25"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2020,7,19]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207662.pdf?arnumber=9207662","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T06:20:36Z","timestamp":1669011636000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207662\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207662","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}