Clinical Text Prediction with Numerically Grounded Conditional Language Models
暂无分享,去创建一个
[1] John Eng,et al. Informatics in Radiology (infoRAD): radiology report entry with automatic phrase completion driven by language modeling. , 2004, Radiographics : a review publication of the Radiological Society of North America, Inc.
[2] Nestor Garay-Vitoria,et al. Text prediction systems: a survey , 2006, Universal Access in the Information Society.
[3] Carina Silberer,et al. Learning Grounded Meaning Representations with Autoencoders , 2014, ACL.
[4] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Larry P. Heck,et al. Contextual LSTM (CLSTM) models for Large scale NLP tasks , 2016, ArXiv.
[6] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[7] Tonio Wandmacher,et al. Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component , 2007, EMNLP.
[8] Stephen Clark,et al. Grounding Semantics in Olfactory Perception , 2015, ACL.
[9] Elia Bruni,et al. Multimodal Distributional Semantics , 2014, J. Artif. Intell. Res..
[10] C. Shewan,et al. Augmentative and Alternative Communication , 2020, Encyclopedia of Education and Information Technologies.
[11] Knowledge-based compilation of magnetic resonance diagnosis reports in neuroradiology , 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).
[12] Zharko Aleksovski,et al. SNOMED CT Saves Keystrokes: Quantifying Semantic Autocompletion. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[13] Christopher D. Manning,et al. Modeling Semantic Containment and Exclusion in Natural Language Inference , 2008, COLING.
[14] Isabelle Augenstein,et al. Numerically Grounded Language Models for Semantic Error Correction , 2016, EMNLP.
[15] Yang Gong,et al. Leveraging user's performance in reporting patient safety events by utilizing text prediction in narrative data entry , 2016, Comput. Methods Programs Biomed..
[16] Ingmar Weber,et al. Type less, find more: fast autocompletion search with a succinct index , 2006, SIGIR.
[17] Hsiu-Hui Lee,et al. Design and Implementation of Web-based Discharge Summary Note Based on Service-Oriented Architecture , 2010, Journal of Medical Systems.
[18] Dan Roth,et al. Reasoning about Quantities in Natural Language , 2015, TACL.
[19] Rob C. van Ommering,et al. Algorithmic and user study of an autocompletion algorithm on a large medical vocabulary , 2012, J. Biomed. Informatics.
[20] Christopher Joseph Pal,et al. Describing Videos by Exploiting Temporal Structure , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[21] Keith Trnka. Adaptive Language Modeling for Word Prediction , 2008, ACL.
[22] Constantine Stephanidis,et al. Universal access in the information society , 1999, HCI.
[23] Raul Sirel. Dynamic User Interfaces for Synchronous Encoding and Linguistic Uniforming of Textual Clinical Data , 2012, Baltic HLT.
[24] Deb Roy,et al. Grounded Language Modeling for Automatic Speech Recognition of Sports Video , 2008, ACL.
[25] M. Nakao,et al. Numbers are better than words. Verbal specifications of frequency have no place in medicine. , 1983, The American journal of medicine.
[26] Trevor Darrell,et al. Long-term recurrent convolutional networks for visual recognition and description , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Christian Lovis,et al. Power of expression in the electronic patient record: structured data or narrative text? , 2000, Int. J. Medical Informatics.
[28] Antal van den Bosch,et al. Efficient context-sensitive word completion for mobile devices , 2008, Mobile HCI.
[29] Philippe Langlais,et al. Trans Type: Development-Evaluation Cycles to Boost Translator's Productivity , 2002, Machine Translation.
[30] Stephen Clark,et al. Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception , 2015, EMNLP.
[31] Peter Haider,et al. Predicting Sentences using N-Gram Language Models , 2005, HLT.
[32] Christopher D. Manning,et al. Finding Contradictions in Text , 2008, ACL.
[33] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[34] Yang Gong,et al. Text Prediction on Structured Data Entry in Healthcare , 2014, Applied Clinical Informatics.
[35] Dan Roth,et al. “Ask Not What Textual Entailment Can Do for You...” , 2010, ACL.
[36] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[37] Mark D. Dunlop,et al. Predictive text entry methods for mobile phones , 2000, Personal Technologies.
[38] George F. Foster,et al. User-Friendly Text Prediction For Translators , 2002, EMNLP.
[39] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[40] Graeme Hirst,et al. Testing the Efficacy of Part-of-Speech Information in Word Completion , 2003 .
[41] Kathleen F. McCoy,et al. Evaluating Word Prediction: Framing Keystroke Savings , 2008, ACL.
[42] Der-Ming Liou,et al. Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries , 2015, J. Am. Medical Informatics Assoc..
[43] D. Timmermans,et al. The Roles of Experience and Domain of Expertise in Using Numerical and Verbal Probability Terms in Medical Decisions , 1994, Medical decision making : an international journal of the Society for Medical Decision Making.