• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 15 matches

• 2016
• 
  Eiji Aramaki, Yoshinobu Kano, Tomoko Ohkuma, Mizuki Morita:
  MedNLPDoc: Japanese Shared Task for Clinical NLP. ClinicalNLP@COLING 2016 2016: 13-16
• 
  Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi:
  Bidirectional LSTM-CRF for Clinical Concept Extraction. ClinicalNLP@COLING 2016 2016: 7-12
• 
  Sadid A. Hasan, Bo Liu, Joey Liu, Ashequl Qadir, Kathy Lee, Vivek V. Datla, Aaditya Prakash, Oladimeji Farri:
  Neural Clinical Paraphrase Generation with Attention. ClinicalNLP@COLING 2016 2016: 42-53
• 
  Markus Kreuzthaler, Michel Oleynik, Alexander Avian, Stefan Schulz:
  Unsupervised Abbreviation Detection in Clinical Narratives. ClinicalNLP@COLING 2016 2016: 91-98
• 
  Ji Young Lee, Franck Dernoncourt, Özlem Uzuner, Peter Szolovits:
  Feature-Augmented Neural Networks for Patient Note De-identification. ClinicalNLP@COLING 2016 2016: 17-22
• 
  Kirk Roberts:
  Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP. ClinicalNLP@COLING 2016 2016: 54-63
• 
  Roland Roller, Hans Uszkoreit, Feiyu Xu, Laura Seiffe, Michael Mikhailov, Oliver Staeck, Klemens Budde, Fabian Halleck, Danilo Schmidt:
  A fine-grained corpus annotation schema of German nephrology records. ClinicalNLP@COLING 2016 2016: 69-77
• 
  Pracheta Sahoo, Asif Ekbal, Sriparna Saha, Diego Mollá Aliod, Nandan Kaushik:
  Semi-supervised Clustering of Medical Text. ClinicalNLP@COLING 2016 2016: 23-31
• 
  Masahito Sakishita, Yoshinobu Kano:
  Inference of ICD Codes from Japanese Medical Records by Searching Disease Names. ClinicalNLP@COLING 2016 2016: 64-68
• 
  Daisaku Shibata, Shoko Wakamiya, Ayae Kinoshita, Eiji Aramaki:
  Detecting Japanese Patients with Alzheimer's Disease based on Word Category Frequencies. ClinicalNLP@COLING 2016 2016: 78-85
• 
  Rebecka Weegar, Arantza Casillas, Arantza Díaz de Ilarraza, Maite Oronoz, Alicia Pérez, Koldo Gojenola:
  The impact of simple feature engineering in multilingual medical NER. ClinicalNLP@COLING 2016 2016: 1-6
• 
  Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
  Deep Learning Architecture for Patient Data De-identification in Clinical Records. ClinicalNLP@COLING 2016 2016: 32-41
• 
  Takanori Yamashita, Yoshifumi Wakata, Hidehisa Soejima, Naoki Nakashima, Sachio Hirokawa:
  Prediction of Key Patient Outcome from Sentence and Word of Medical Text Records. ClinicalNLP@COLING 2016 2016: 86-90
• 
  Steven Kester Yuwono, Hwee Tou Ng, Kee Yuan Ngiam:
  Automated Anonymization as Spelling Variant Detection. ClinicalNLP@COLING 2016 2016: 99-103
• 
  Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann:
  Proceedings of the Clinical Natural Language Processing Workshop, ClinicalNLP@COLING 2016, Osaka, Japan, December 11, 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-710-5 [contents]