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ORCIDLouhi@EMNLP 2019: Hong Kong
- Eben Holderness, Antonio Jimeno-Yepes, Alberto Lavelli, Anne-Lyse Minard, James Pustejovsky, Fabio Rinaldi:
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, Hong Kong, November 3, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-77-2 - Kristin Wright-Bettner, Martha Palmer, Guergana Savova, Piet C. de Groen, Timothy Miller:
Cross-document coreference: An approach to capturing coreference without context. 1-10 - John-Jose Nunez, Giuseppe Carenini:
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine. 11-17 - Tuan Ngo Nguyen, Franck Dernoncourt, Thien Huu Nguyen:
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning. 18-27 - Diya Li, Heng Ji:
Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction. 28-33 - Marco Basaldella, Nigel Collier:
BioReddit: Word Embeddings for User-Generated Biomedical NLP. 34-38 - Shang-Chi Tsai, Ting-Yun Chang, Yun-Nung Chen:
Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding. 39-43 - Agnieszka Mykowiecka
, Malgorzata Marciniak:
Experiments with ad hoc ambiguous abbreviation expansion. 44-53 - Prasadith Kirinde Gamaarachchige, Diana Inkpen:
Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text. 54-64 - Serena Jeblee, Faiza Khan Khattak, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz:
Extracting relevant information from physician-patient dialogues for automated clinical note taking. 65-74 - Sinchani Chakraborty, Sudeshna Sarkar, Pawan Goyal, Mahanandeeshwar Gattu:
Biomedical Relation Classification by single and multiple source domain adaptation. 75-80 - Elena Álvarez Mellado, Eben Holderness, Nicholas Miller, Fyonn Dhang, Philip Cawkwell, Kirsten Bolton, James Pustejovsky, Mei-Hua Hall:
Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction. 81-86 - Hoang Van, Ahmad Musa, Hang Chen, Stephen G. Kobourov, Mihai Surdeanu:
What does the language of foods say about us? 87-96 - Elsbeth Turcan, Kathy McKeown:
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media. 97-107 - Alexander Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen:
Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation. 108-117 - Hanna Berg, Taridzo Chomutare, Hercules Dalianis:
Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text. 118-125 - Wen-wai Yim, Ashley Mills, Harold Chun, Teresa Hashiguchi, Justin Yew, Bryan Lu:
Automatic rubric-based content grading for clinical notes. 126-135 - Annika Marie Schoene, George Lacey, Alexander P. Turner, Nina Dethlefs:
Dilated LSTM with attention for Classification of Suicide Notes. 136-145 - Denis Newman-Griffis, Eric Fosler-Lussier:
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings. 146-156 - Isar Nejadgholi, Kathleen C. Fraser, Berry de Bruijn, Muqun Li, Astha LaPlante, Khaldoun Zine El Abidine:
Recognizing UMLS Semantic Types with Deep Learning. 157-167 - Matús Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios A. Tsaftaris, Alison O'Neil:
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text. 168-177 - Elena Sergeeva, Henghui Zhu, Amir Tahmasebi, Peter Szolovits:
Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text. 178-187
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