%0 Conference Paper %1 conf/pkdd/JiangZB21 %A Jiang, Keyuan %A Zhang, Dingkai %A Bernard, Gordon R. %B PKDD/ECML Workshops (2) %D 2021 %E Kamp, Michael %E Koprinska, Irena %E Bibal, Adrien %E Bouadi, Tassadit %E Frénay, Benoît %E Galárraga, Luis %E Oramas, José %E Adilova, Linara %E Krishnamurthy, Yamuna %E Kang, Bo %E Largeron, Christine %E Lijffijt, Jefrey %E Viard, Tiphaine %E Welke, Pascal %E Ruocco, Massimiliano %E Aune, Erlend %E Gallicchio, Claudio %E Schiele, Gregor %E Pernkopf, Franz %E Blott, Michaela %E Fröning, Holger %E Schindler, Günther %E Guidotti, Riccardo %E Monreale, Anna %E Rinzivillo, Salvatore %E Biecek, Przemyslaw %E Ntoutsi, Eirini %E Pechenizkiy, Mykola %E Rosenhahn, Bodo %E Buckley, Christopher L. %E Cialfi, Daniela %E Lanillos, Pablo %E Ramstead, Maxwell %E Verbelen, Tim %E Ferreira, Pedro M. %E Andresini, Giuseppina %E Malerba, Donato %E Medeiros, Ibéria %E Fournier-Viger, Philippe %E Nawaz, M. Saqib %E Ventura, Sebastián %E Sun, Meng %E Zhou, Min %E Bitetta, Valerio %E Bordino, Ilaria %E Ferretti, Andrea %E Gullo, Francesco %E Ponti, Giovanni %E Severini, Lorenzo %E Ribeiro, Rita P. %E Gama, João %E Gavaldà, Ricard %E Cooper, Lee A. D. %E Ghazaleh, Naghmeh %E Richiardi, Jonas %E Roqueiro, Damian %E Miranda, Diego Saldana %E Sechidis, Konstantinos %E Graça, Guilherme %I Springer %K dblp %P 468-478 %T Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model. %U http://dblp.uni-trier.de/db/conf/pkdd/pkdd2021-w2.html#JiangZB21 %V 1525 %@ 978-3-030-93733-1

@inproceedings{conf/pkdd/JiangZB21, added-at = {2022-03-15T00:00:00.000+0100}, author = {Jiang, Keyuan and Zhang, Dingkai and Bernard, Gordon R.}, biburl = {https://www.bibsonomy.org/bibtex/241c20ce6b99491bd7e819b2d75a258f7/dblp}, booktitle = {PKDD/ECML Workshops (2)}, crossref = {conf/pkdd/2021-w2}, editor = {Kamp, Michael and Koprinska, Irena and Bibal, Adrien and Bouadi, Tassadit and Frénay, Benoît and Galárraga, Luis and Oramas, José and Adilova, Linara and Krishnamurthy, Yamuna and Kang, Bo and Largeron, Christine and Lijffijt, Jefrey and Viard, Tiphaine and Welke, Pascal and Ruocco, Massimiliano and Aune, Erlend and Gallicchio, Claudio and Schiele, Gregor and Pernkopf, Franz and Blott, Michaela and Fröning, Holger and Schindler, Günther and Guidotti, Riccardo and Monreale, Anna and Rinzivillo, Salvatore and Biecek, Przemyslaw and Ntoutsi, Eirini and Pechenizkiy, Mykola and Rosenhahn, Bodo and Buckley, Christopher L. and Cialfi, Daniela and Lanillos, Pablo and Ramstead, Maxwell and Verbelen, Tim and Ferreira, Pedro M. and Andresini, Giuseppina and Malerba, Donato and Medeiros, Ibéria and Fournier-Viger, Philippe and Nawaz, M. Saqib and Ventura, Sebastián and Sun, Meng and Zhou, Min and Bitetta, Valerio and Bordino, Ilaria and Ferretti, Andrea and Gullo, Francesco and Ponti, Giovanni and Severini, Lorenzo and Ribeiro, Rita P. and Gama, João and Gavaldà, Ricard and Cooper, Lee A. D. and Ghazaleh, Naghmeh and Richiardi, Jonas and Roqueiro, Damian and Miranda, Diego Saldana and Sechidis, Konstantinos and Graça, Guilherme}, ee = {https://doi.org/10.1007/978-3-030-93733-1_35}, interhash = {3d1e989d92c61aee3ce15a3fde5ef0c9}, intrahash = {41c20ce6b99491bd7e819b2d75a258f7}, isbn = {978-3-030-93733-1}, keywords = {dblp}, pages = {468-478}, publisher = {Springer}, series = {Communications in Computer and Information Science}, timestamp = {2024-04-09T09:50:10.000+0200}, title = {Mining Medication-Effect Relations from Twitter Data Using Pre-trained Transformer Language Model.}, url = {http://dblp.uni-trier.de/db/conf/pkdd/pkdd2021-w2.html#JiangZB21}, volume = 1525, year = 2021 }