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ORCIDLouhi@EMNLP 2022: United Arab Emirates (Hybrid)
- Alberto Lavelli, Eben Holderness, Antonio Jimeno-Yepes, Anne-Lyse Minard, James Pustejovsky, Fabio Rinaldi:
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, LOUHI@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 7, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-13-5 - Farnaz Ghassemi Toudeshki, Anna Liednikova, Philippe Jolivet, Claire Gardent:
Exploring the Influence of Dialog Input Format for Unsupervised Clinical Questionnaire Filling. 1-13 - Matías Rojas, Casimiro Pio Carrino, Aitor Gonzalez-Agirre, Jocelyn Dunstan, Marta Villegas:
Assessing the Limits of Straightforward Models for Nested Named Entity Recognition in Spanish Clinical Narratives. 14-25 - Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi:
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? 26-34 - Antonio Jimeno-Yepes, Karin Verspoor
:
Distinguishing between focus and background entities in biomedical corpora using discourse structure and transformers. 35-40 - Yanis Labrak, Adrien Bazoge, Richard Dufour, Béatrice Daille, Pierre-Antoine Gourraud, Emmanuel Morin, Mickael Rouvier:
FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain. 41-46 - Maël Houbre, Florian Boudin, Béatrice Daille:
A Large-Scale Dataset for Biomedical Keyphrase Generation. 47-53 - Fan Zhang, Itay Laish, Ayelet Benjamini, Amir Feder:
Section Classification in Clinical Notes with Multi-task Transformers. 54-59 - Amir Feder, Itay Laish, Shashank Agarwal, Uri Lerner, Avel Atias, Cathy Cheung, Peter Clardy, Alon Peled-Cohen, Rachana Fellinger, Hengrui Liu, Lan Huong Nguyen, Birju Patel, Natan Potikha, Amir Taubenfeld, Liwen Xu, Seung Doo Yang, Ayelet Benjamini, Avinatan Hassidim:
Building a Clinically-Focused Problem List From Medical Notes. 60-68 - Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, Pierre Zweigenbaum:
Specializing Static and Contextual Embeddings in the Medical Domain Using Knowledge Graphs: Let's Keep It Simple. 69-80 - Kamal Raj Kanakarajan, Bhuvana Kundumani, Abhijith Abraham, Malaikannan Sankarasubbu:
BioSimCSE: BioMedical Sentence Embeddings using Contrastive learning. 81-86 - Maciej Wiatrak, Eirini Arvaniti, Angus Brayne, Jonas Vetterle, Aaron Sim:
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval. 87-99 - Arash Afkanpour, Shabir Adeel, Hansenclever Bassani, Arkady Epshteyn, Hongbo Fan, Isaac Jones, Mahan Malihi, Adrian Nauth, Raj Sinha, Sanjana Woonna, Shiva Zamani, Elli Kanal, Mikhail Fomitchev, Donny Cheung:
BERT for Long Documents: A Case Study of Automated ICD Coding. 100-107 - Bhanu Pratap Singh Rawat, Hong Yu:
Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection. 108-115 - Jianing Zhou, Vyom Nayan Thakkar, Rachel Yudkowsky, Suma Bhat, William F. Bond:
Automatic Patient Note Assessment without Strong Supervision. 116-126 - Jie Yang, Yihao Ding, Siqu Long, Josiah Poon, Soyeon Caren Han:
DDI-MuG: Multi-aspect Graphs for Drug-Drug Interaction Extraction. 127-137 - Jose Barros, Matías Rojas, Jocelyn Dunstan, Andrés Abeliuk:
Divide and Conquer: An Extreme Multi-Label Classification Approach for Coding Diseases and Procedures in Spanish. 138-147 - Sajad Sotudeh, Nazli Goharian, Hanieh Deilamsalehy, Franck Dernoncourt:
Curriculum-guided Abstractive Summarization for Mental Health Online Posts. 148-153 - Sneha Jha, Erik Mayer, Mauricio Barahona:
Improving information fusion on multimodal clinical data in classification settings. 154-159 - Samuel Cahyawijaya, Bryan Wilie, Holy Lovenia, Huan Zhong, MingQian Zhong, Yuk-Yu Nancy Ip, Pascale Fung:
How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling. 160-172 - Amal AlQahtani, Efsun Sarioglu Kayi, Sardar Hamidian, Michael Compton, Mona T. Diab:
A Quantitative and Qualitative Analysis of Schizophrenia Language. 173-183 - Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media. 184-196 - Claudio Aracena, Fabián Villena, Matías Rojas, Jocelyn Dunstan:
A Knowledge-Graph-Based Intrinsic Test for Benchmarking Medical Concept Embeddings and Pretrained Language Models. 197-206 - Priyanka Dey, Roxana Girju:
Enriching Deep Learning with Frame Semantics for Empathy Classification in Medical Narrative Essays. 207-217 - Sichang Tu, Stephen Doogan, Jinho D. Choi:
Condition-Treatment Relation Extraction on Disease-related Social Media Data. 218-228 - Parsa Bagherzadeh, Sabine Bergler:
Integration of Heterogeneous Knowledge Sources for Biomedical Text Processing. 229-238
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