[Corpora-List] Call for Participation: LOUHI 2018 @ EMNLP

Alberto Lavelli lavelli at fbk.eu
Tue Sep 25 12:04:09 CEST 2018

[Apologies for multiple postings]


EMNLP 2018 Workshop - The Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI 2018) https://louhi2018.fbk.eu/

Location: EMNLP 2018, in Brussels, Belgium (October 31, 2018)

** Background **

The Ninth International Workshop on Health Text Mining and Information Analysis provides an interdisciplinary forum for researchers interested in automated processing of health documents. Health documents encompass electronic health records, clinical guidelines, spontaneous reports for pharmacovigilance, biomedical literature, health forums/blogs or any other type of health-related documents. The LOUHI workshop series fosters interactions between the Computational Linguistics, Medical Informatics and Artificial Intelligence communities. It started in 2008 in Turku, Finland and has been organized five times: LOUHI 2010 was co-located with NAACL in Los Angeles, CA; LOUHI 2011 was co-located with Artificial Intelligence in Medicine (AIME) in Bled, Slovenia; LOUHI 2013 was held in Sydney, Australia during NICTA Techfest; LOUHI 2014 was co-located with EACL in Gothenburg, Sweden; LOUHI 2015 was co-located with EMNLP in Lisbon, Portugal; LOUHI 2016 was co-located with EMNLP in Austin, Texas; and LOUHI 2017 was held in Sydney, Australia.

** Invited Speaker **

Goran Nenadic, University of Manchester, UK *Distributed text mining in healthcare: linking data, methods and people*

** Program **

October 31, 2018 *9:00–10:30* *Session 1* *9:00* *Introduction* 9:05 *Detecting Diabetes Risk from Social Media Activity* Dane Bell, Egoitz Laparra, Aditya Kousik, Terron Ishihara, Mihai Surdeanu and Stephen Kobourov 9:30 *Treatment Side Effect Prediction from Online User-generated Content* Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan and Kishaloy Halder *9:55* *Poster booster* *10:15* *Poster session*

*Revisiting neural relation classification in clinical notes with external information* Simon Suster, Madhumita Sushil and Walter Daelemans

*Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data* Mandeep Kaur and Diego Molla

*Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition* Zenan Zhai, Dat Quoc Nguyen and Karin Verspoor

*Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy* Lina M. Rojas Barahona, Bo-Hsiang Tseng, Yinpei Dai, Clare Mansfield, Osman Ramadan, Stefan Ultes, Michael Crawford and Milica Gasic

*Investigating the Challenges of Temporal Relation Extraction from Clinical Text* Diana Galvan, Naoaki Okazaki, Koji Matsuda and Kentaro Inui

*De-identifying Free Text of Japanese Dummy Electronic Health Records* Kohei Kajiyama, Hiromasa Horiguchi, Takashi Okumura, Mizuki Morita and Yoshinobu Kano

*Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study* Drahomira Herrmannova, Steven Young, Robert Patton, Christopher Stahl, Nicole Kleinstreuer and Mary Wolfe

*Identification of Parallel Sentences in Comparable Monolingual Corpora from Different Registers* Rémi Cardon and Natalia Grabar

*Evaluation of a Prototype System that Automatically Assigns Subject Headings to Nursing Narratives Using Recurrent Neural Network* Hans Moen, Kai Hakala, Laura-Maria Peltonen, Henry Suhonen, Petri Loukasmäki, Tapio Salakoski, Filip Ginter and Sanna Salanterä

*Automatically Detecting the Position and Type of Psychiatric Evaluation Report Sections* Deya Banisakher, Naphtali Rishe and Mark A. Finlayson *10:30–11:00* *Break* *11:00–12:30* *Session 2* 11:00 *Iterative development of family history annotation guidelines using a synthetic corpus of clinical text* Taraka Rama, Pål Brekke, Øystein Nytrø and Lilja Øvrelid 11:25 *CAS: French Corpus with Clinical Cases* Natalia Grabar, Vincent Claveau and Clément Dalloux 11:40 *Analysis of Risk Factor Domains in Psychosis Patient Health Records* Eben Holderness, Nicholas Miller, Kirsten Bolton, Philip Cawkwell, Marie Meteer, James Pustejovsky and Mei Hua-Hall 12:05 *Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks* Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay, Lorenz Kuhn, Chiara Marchiori and Ce Zhang *12:30–14:00* *Lunch* *14:00–15:30* *Session 3* 14:00 *Invited Talk - Distributed text mining in healthcare: linking data, methods and people* Goran Nenadic 14:50 *Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction* Joël Legrand, Yannick Toussaint, Chedy Raïssi and Adrien Coulet 15:15 *In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition* Golnar Sheikhshabbafghi, Inanc Birol and Anoop Sarkar *15:30–16:00* *Break* *16:00–17:30* *Session 4* 16:00 *Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction* Chen Lin, Timothy Miller, Dmitriy Dligach, Hadi Amiri, Steven Bethard and Guergana Savova 16:25 *Listwise temporal ordering of events in clinical notes* Serena Jeblee and Graeme Hirst 16:40 *Time Expressions in Mental Health Records for Symptom Onset Extraction* Natalia Viani, Lucia Yin, Joyce Kam, Ayunni Alawi, André Bittar, Rina Dutta, Rashmi Patel, Robert Stewart and Sumithra Velupillai 16:55 *Evaluation of a Sequence Tagging Tool for Biomedical Texts* Julien Tourille, Matthieu Doutreligne, Olivier Ferret, Aurélie Névéol, Nicolas Paris and Xavier Tannier 17:10 *Learning to Summarize Radiology Findings* Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning and Curtis P. Langlotz

** Organizers **

Alberto Lavelli (FBK, Trento, Italy) Anne-Lyse Minard (IRISA, CNRS, Rennes, France) Fabio Rinaldi (University of Zurich, Switzerland & FBK, Trento, Italy)

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