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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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Results
Found 18 publication records. Showing 18 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Chen-Kai Wang, Nai-Wun Chang, Emily Chia-Yu Su, Hong-Jie Dai |
NTTMU System in the 2nd Social Media Mining for Health Applications Shared Task. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Robert Pless, Rebecca Begtrup, Lulwah Alkulaib, Samsara N. Counts, James Harnett, Justine-Louise Manning, Hong Xuan, David A. Broniatowski |
Recognizing Images of Eating Disorders in Social Media. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn |
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Maryam Zolnoori, Timothy B. Patrick, Kin Wah Fung, Paul A. Fontelo, Anthony Faiola, Yi Shuan Shirley Wu, Kelly Xu, Jiaxi Zhu, Christina E. Eldredge |
Development of an Adverse Drug Reaction Corpus from Consumer Health Posts for Psychiatric Medications. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Sifei Han, Tung Tran 0001, Anthony Rios, Ramakanth Kavuluru |
Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Fu-Chiang Tsui, Lingyun Shi, Victor Ruiz, Amie D. Barda, Ye Ye, Diyang Xue, Fan Mi, Uktars Jain |
Detection of Adverse Drug Reaction from Twitter Data. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Arjun Magge, Matthew Scotch, Graciela Gonzalez 0001 |
CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text Classification. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Barathi Ganesh H. B., R. Vinayakumar, M. Anand Kumar, K. P. Soman |
NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Hillol Sarker, Murtaza Dhuliawala, Nicholas Fay, Amar Das |
vExplorer: A Search Method to Find Relevant YouTube Videos for Health Researchers. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Abeed Sarker, Graciela Gonzalez 0001 (eds.) |
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), Washington D.C., United States, November 4, 2017. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Kai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter |
Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Maksim Belousov, William G. Dixon, Goran Nenadic |
Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Michael C. Smith 0001, Mark Dredze, Sandra Crouse Quinn, David A. Broniatowski |
Monitoring Real-time Spatial Public Health Discussions in the Context of Vaccine Hesitancy. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Yuki Lama, Dian Hu, Sandra Crouse Quinn, Amelia Jamison, David A. Broniatowski |
Characterizing HPV Vaccine Discourse On Reddit. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Abeed Sarker, Graciela Gonzalez 0001 |
Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Ashlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul |
Characteristics of Zika Behavior Discourse on Twitter. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Sarthak Jain, Xun Peng, Byron C. Wallace |
Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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1 | Jasper Friedrichs, Debanjan Mahata, Shubham Gupta |
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter. |
SMM4H@AMIA |
2017 |
DBLP BibTeX RDF |
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Displaying result #1 - #18 of 18 (100 per page; Change: )
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