@InProceedings{lin-EtAl:2019:W19-19,
  author    = {Lin, Chen  and  Miller, Timothy  and  Dligach, Dmitriy  and  Bethard, Steven  and  Savova, Guergana},
  title     = {A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction},
  booktitle = {Proceedings of the 2nd Clinical Natural Language Processing Workshop},
  month     = {6},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {65--71},
  url       = {http://www.aclweb.org/anthology/W19-1908},
  keywords = {workshop paper, health applications, timelines, information extraction},
}

{"_id":"d2xCGZBoq2NzHCHpG","bibbaseid":"lin-miller-dligach-bethard-savova-abertbaseduniversalmodelforbothwithinandcrosssentenceclinicaltemporalrelationextraction-2019","author_short":["Lin, C.","Miller, T.","Dligach, D.","Bethard, S.","Savova, G."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"propositions":[],"lastnames":["Lin"],"firstnames":["Chen"],"suffixes":[]},{"propositions":[],"lastnames":["Miller"],"firstnames":["Timothy"],"suffixes":[]},{"propositions":[],"lastnames":["Dligach"],"firstnames":["Dmitriy"],"suffixes":[]},{"propositions":[],"lastnames":["Bethard"],"firstnames":["Steven"],"suffixes":[]},{"propositions":[],"lastnames":["Savova"],"firstnames":["Guergana"],"suffixes":[]}],"title":"A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction","booktitle":"Proceedings of the 2nd Clinical Natural Language Processing Workshop","month":"6","year":"2019","address":"Minneapolis, Minnesota, USA","publisher":"Association for Computational Linguistics","pages":"65–71","url":"http://www.aclweb.org/anthology/W19-1908","keywords":"workshop paper, health applications, timelines, information extraction","bibtex":"@InProceedings{lin-EtAl:2019:W19-19,\n author = {Lin, Chen and Miller, Timothy and Dligach, Dmitriy and Bethard, Steven and Savova, Guergana},\n title = {A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction},\n booktitle = {Proceedings of the 2nd Clinical Natural Language Processing Workshop},\n month = {6},\n year = {2019},\n address = {Minneapolis, Minnesota, USA},\n publisher = {Association for Computational Linguistics},\n pages = {65--71},\n url = {http://www.aclweb.org/anthology/W19-1908},\n keywords = {workshop paper, health applications, timelines, information extraction},\n}\n","author_short":["Lin, C.","Miller, T.","Dligach, D.","Bethard, S.","Savova, G."],"key":"lin-EtAl:2019:W19-19","id":"lin-EtAl:2019:W19-19","bibbaseid":"lin-miller-dligach-bethard-savova-abertbaseduniversalmodelforbothwithinandcrosssentenceclinicaltemporalrelationextraction-2019","role":"author","urls":{"Paper":"http://www.aclweb.org/anthology/W19-1908"},"keyword":["workshop paper","health applications","timelines","information extraction"],"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/bethard/bethard.github.io/main/assets/bethard.bib","dataSources":["Z8RWFZH5Fm67zCFX3","ejvmJDJq78QmhN9fX","m5m3npBwJE44C9JYs"],"keywords":["workshop paper","health applications","timelines","information extraction"],"search_terms":["bert","based","universal","model","both","within","cross","sentence","clinical","temporal","relation","extraction","lin","miller","dligach","bethard","savova"],"title":"A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction","year":2019,"downloads":1}