Program

November 3, 2019

9:00–10:30 Session 1 (chair: TBD)

9:00 Introduction

9:05 Cross-document coreference: An approach to capturing coreference without context

Kristin Wright-Bettner, Martha Palmer, Guergana Savova, Piet de Groen and Timothy Miller

9:30 Poster booster

9:45 Poster session

Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine

John-Jose Nunez and Giuseppe Carenini

On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning

Tuan Ngo Nguyen, Franck Dernoncourt and Thien Huu Nguyen

Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction

Diya Li and Heng Ji

BioReddit: Word Embeddings for User-Generated Biomedical NLP

Marco Basaldella and Nigel Collier

Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding

Shang-Chi Tsai, Ting-Yun Chang and Yun-Nung Chen

Experiments with ad hoc ambiguous abbreviation expansion

Agnieszka Mykowiecka and Malgorzata Marciniak

Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text

Prasadith Kirinde Gamaarachchige and Diana Inkpen

Extracting relevant information from physician-patient dialogues for automated clinical note taking

Serena Jeblee, Faiza Khan Khattak, Noah Crampton, Muhammad Mamdani and Frank Rudzicz

Biomedical Relation Classification by single and multiple source domain adaptation

Sinchani Chakraborty, Sudeshna Sarkar, Pawan Goyal and Mahanandeeshwar Gattu

Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction

Elena Alvarez-Mellado, Eben Holderness, Nicholas Miller, Fyonn Dhang, Philip Cawkwell, Kirsten Bolton, James Pustejovsky and Mei-Hua Hall

10:30–11:00 Break

11:00–12:30 Session 2 (chair: TBD)

11:00 What does the language of foods say about us?

Hoang Van, Ahmad Musa, Hang Chen, Stephen Kobourov and Mihai Surdeanu

11:25 Dreaddit: A Reddit Dataset for Stress Analysis in Social Media

Elsbeth Turcan and Kathy McKeown

11:50 Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation

Alexander Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su and Yun-Nung Chen

12:15 Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text

Hanna Berg, Taridzo Chomutare and Hercules Dalianis

12:40–14:00 Lunch

14:00–15:30 Session 3 (chair: TBD)

14:00 Invited Talk - Medical natural language processing efforts for non-English content: experiences with Spanish data, resources, tasks and the Plan TL.

Martin Krallinger

14:40 Automatic rubric-based content grading for clinical notes

Wen-wai Yim, Ashley Mills, Harold Chun, Teresa Hashiguchi, Justin Yew and Bryan Lu

15:05 Dilated LSTM with attention for Classification of Suicide Notes

Annika M Schoene, George Lacey, Alexander P Turner and Nina Dethlefs

15:30–16:00 Break

16:00–17:40 Session 4 (chair: TBD)

16:00 Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings

Denis Newman-Griffis and Eric Fosler-Lussier

16:25 Recognizing UMLS Semantic Types with Deep Learning

Isar Nejadgholi, Kathleen C. Fraser, Berry De Bruijn, Muqun Li, Astha LaPlante and Khaldoun Zine El Abidine

16:50 Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text

Matus Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers, Shadia Mikhael, Sotirios Tsaftaris and Alison O'Neil

17:15 Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text

Elena Sergeeva, Henghui Zhu, Amir Tahmasebi and Peter Szolovits