Papers
Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text
Elena Sergeeva, Henghui Zhu, Amir Tahmasebi et al.
Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text
Matus Falis, Maciej Pajak, Aneta Lisowska et al.
Recognizing UMLS Semantic Types with Deep Learning
Isar Nejadgholi, Kathleen C. Fraser, Berry De Bruijn et al.
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings
Denis Newman-Griffis, Eric Fosler-Lussier
Dilated LSTM with attention for Classification of Suicide Notes
Annika M Schoene, George Lacey, Alexander P Turner et al.
Automatic rubric-based content grading for clinical notes
Wen-wai Yim, Ashley Mills, Harold Chun et al.
Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text
Hanna Berg, Taridzo Chomutare, Hercules Dalianis
Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation
Alexander Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su et al.
Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
Elsbeth Turcan, Kathy McKeown
What does the language of foods say about us?
Hoang Van, Ahmad Musa, Hang Chen et al.
Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction
Elena Alvarez-Mellado, Eben Holderness, Nicholas Miller et al.
Biomedical Relation Classification by single and multiple source domain adaptation
Sinchani Chakraborty, Sudeshna Sarkar, Pawan Goyal et al.
Extracting relevant information from physician-patient dialogues for automated clinical note taking
Serena Jeblee, Faiza Khan Khattak, Noah Crampton et al.
Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text
Prasadith Kirinde Gamaarachchige, Diana Inkpen
Experiments with ad hoc ambiguous abbreviation expansion
Agnieszka Mykowiecka, Malgorzata Marciniak
Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding
Shang-Chi Tsai, Ting-Yun Chang, Yun-Nung Chen
BioReddit: Word Embeddings for User-Generated Biomedical NLP
Marco Basaldella, Nigel Collier
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
Tuan Ngo Nguyen, Franck Dernoncourt, Thien Huu Nguyen
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine
John-Jose Nunez, Giuseppe Carenini
Cross-document coreference: An approach to capturing coreference without context
Kristin Wright-Bettner, Martha Palmer, Guergana Savova et al.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
Eben Holderness, Antonio Jimeno Yepes, Alberto Lavelli et al.
Analysing concatenation approaches to document-level NMT in two different domains
Yves Scherrer, Jörg Tiedemann, Sharid Loáiciga
Context-aware Neural Machine Translation with Coreference Information
Takumi Ohtani, Hidetaka Kamigaito, Masaaki Nagata et al.
Data augmentation using back-translation for context-aware neural machine translation
Amane Sugiyama, Naoki Yoshinaga