From data to text in the Neonatal Intensive Care Unit: Using NLG technology for decision support and information management
暂无分享,去创建一个
Albert Gatt | Jim Hunter | François Portet | Ehud Reiter | Somayajulu Sripada | Wendy Moncur | Saad Mahamood | Ehud Reiter | Wendy Moncur | S. Sripada | J. Hunter | Albert Gatt | Saad Mahamood | François Portet
[1] Wolfgang Hoeppner,et al. Review of Generating natural language under pragmantic constraints by Edward H. Hovy. Lawrence Erlbaum Associates 1988. , 1990 .
[2] Floriana Grasso,et al. Affective Natural Language Generation , 1999, IWAI.
[3] Evert de Jonge,et al. An empirical comparison of four procedures for filtering monitoring data , 2007 .
[4] Mimo Caenepeel. Aspect and text structure , 1995 .
[5] M. Chambrin. Alarms in the intensive care unit: how can the number of false alarms be reduced? , 2001, Critical care.
[6] Albert Gatt,et al. The Importance of Narrative and Other Lessons from an Evaluation of an NLG System that Summarises Clinical Data , 2008, INLG.
[7] L. Elting,et al. Is a Picture Worth a Thousand Medical Words? A Randomized Trial of Reporting Formats for Medical Research Data , 1991, Methods of Information in Medicine.
[8] Michael White,et al. Towards broad coverage surface realization with CCG , 2007, MTSUMMIT.
[9] Carlota S. Smith,et al. The Domain of Tense , 2009 .
[10] Scott Weinstein,et al. Centering: A Framework for Modeling the Local Coherence of Discourse , 1995, CL.
[11] Fleur T. Tehrani,et al. Intelligent decision support systems for mechanical ventilation , 2008, Artif. Intell. Medicine.
[12] George Hripcsak,et al. Temporal reasoning with medical data - A review with emphasis on medical natural language processing , 2007, J. Biomed. Informatics.
[13] Angus Roberts,et al. Mining clinical relationships from patient narratives , 2008, BMC Bioinformatics.
[14] Feng Gao,et al. Using Temporal Constraints to Integrate Signal Analysis and Domain Knowledge in Medical Event Detection , 2009, AIME.
[15] Mark Steedman,et al. Temporal Ontology and Temporal Reference , 1988, CL.
[16] Alison Cawsey,et al. The Evaluation of a Personalised Health Information System for Patients with Cancer , 2000, User Modeling and User-Adapted Interaction.
[17] Avi Parush,et al. Helping People with Visual Impairments Gain Access to Graphical Information Through Natural Language: The iGraph System , 2006, ICCHP.
[18] Federico Peinado,et al. Narrative Models : Narratology Meets Artificial Intelligence , 2006 .
[19] Rolf A. Zwaan,et al. TIME IN NARRATIVE COMPREHENSION: A COGNITIVE PERSPECTIVE , 2009 .
[20] Eduard Hovy,et al. Generating Natural Language Under Pragmatic Constraints , 1988 .
[21] Hans Reichenbach,et al. Elements of symbolic logic , 1948 .
[22] Frank Puppe,et al. Application and Evaluation of a Medical Knowledge System in Sonography (SONOCONSULT) , 2008, ECAI.
[23] S Miksch,et al. Effective data validation of high-frequency data: Time-point-, time-interval-, and trend-based methods , 1997, Comput. Biol. Medicine.
[24] Heidrun Schumann,et al. Visualization for modeling and simulation: visualization methods for time-dependent data - an overview , 2003, WSC '03.
[25] Ben Shneiderman,et al. The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.
[26] Mary Dee Harris,et al. Building a Large-scale Commercial NLG System for an EMR , 2008, INLG.
[27] Hua Min,et al. Consistency across the hierarchies of the UMLS Semantic Network and Metathesaurus , 2003, J. Biomed. Informatics.
[28] Rolf A. Zwaan,et al. Situation models in language comprehension and memory. , 1998, Psychological bulletin.
[29] Kees van Deemter,et al. Information sharing : reference and presupposition in language generation and interpretation , 2002 .
[30] Jim Hunter,et al. Automatic Generation of Textual Summaries from Neonatal Intensive Care Data , 2007, AIME.
[31] Dov M. Gabbay,et al. Handbook of Temporal Reasoning in Artificial Intelligence , 2005, Handbook of Temporal Reasoning in Artificial Intelligence.
[32] H. Mcdonald,et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.
[33] Yuval Shahar,et al. Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data , 2008, Artif. Intell. Medicine.
[34] Panagiotis Stamatopoulos,et al. Summarization from Medical Documents: A Survey , 2005, Artif. Intell. Medicine.
[35] Teun A. van Dijk,et al. Discourse as structure and process , 1997 .
[36] O. M.O.D. ILEX: An Architecture for a Dynamic Hypertext Generation System , 2001 .
[37] Richard T. Snodgrass,et al. Extending Temporal Databases to Deal with Telic / Atelic Medical Data , 2006 .
[38] M. Varner,et al. A measurement model of perinatal stressors: identifying risk for postnatal emotional distress in mothers of high-risk infants. , 2000, Journal of clinical psychology.
[39] Tsvi Kuflik,et al. Adaptive, intelligent presentation of information for the museum visitor in PEACH , 2007, User Modeling and User-Adapted Interaction.
[40] K. Tan,et al. Clinical decision support systems for neonatal care. , 2005, The Cochrane database of systematic reviews.
[41] Carolyn McGregor,et al. Temporal abstraction in intelligent clinical data analysis: A survey , 2007, Artif. Intell. Medicine.
[42] Alex Lascarides,et al. Preventing False Temporal Implicatures: Interactive Defaults for Text Generation , 1992, COLING.
[43] Chris Mellish,et al. ILEX: an architecture for a dynamic hypertext generation system , 2001, Nat. Lang. Eng..
[44] BentalDiana,et al. Personalized and adaptive systems for medical consumer applications , 2002 .
[45] Brigitte Krenn,et al. Fully generated scripted dialogue for embodied agents , 2008, Artif. Intell..
[46] Cécile Paris,et al. Tailoring Object Descriptions to a User's Level of Expertise , 1988, Comput. Linguistics.
[47] Ehud Reiter,et al. Selecting the Content of Textual Descriptions of Geographically Located Events in Spatio-Temporal Weather Data , 2007, SGAI Conf..
[48] Ben Shneiderman,et al. Interactive pattern search in time series , 2005, IS&T/SPIE Electronic Imaging.
[49] Albert Gatt,et al. SimpleNLG: A Realisation Engine for Practical Applications , 2009, ENLG.
[50] D Hüske-Kraus,et al. Text Generation in Clinical Medicine – a Review , 2003, Methods of Information in Medicine.
[51] Luca Chittaro,et al. Information visualization and its application to medicine , 2001, Artif. Intell. Medicine.
[52] Ielka van der Sluis,et al. Towards Empirical Evaluation of Affective Tactical NLG , 2009, ENLG.
[53] E. André. The Generation of Multimedia Presentations , 2000 .
[54] Richard Power,et al. An integrated framework for text planning and pronominalisation , 2000, INLG.
[55] Amy Isard,et al. Multi-lingual Evaluation of a Natural Language Generation System , 2004, LREC.
[56] Charles G. Martin,et al. Influence of data display formats on physician investigators' decisions to stop clinical trials: prospective trial with repeated measures , 1999, BMJ.
[57] Rebecca J. Passonneau,et al. Situations and Intervals , 1987, ACL.
[58] Judith Masthoff,et al. What Do You Want to Know? Investigating the Information Requirements of Patient Supporters , 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.
[59] François Pachet,et al. NéoGanesh: a working system for the automated control of assisted ventilation in ICUs , 1997, Artif. Intell. Medicine.
[60] Jim Hunter,et al. Choosing words in computer-generated weather forecasts , 2005, Artif. Intell..
[61] David Madigan,et al. Probabilistic Temporal Reasoning , 2005, Handbook of Temporal Reasoning in Artificial Intelligence.
[62] Gary Ewing,et al. Role and experience determine decision support interface requirements in a neonatal intensive care environment , 2003, J. Biomed. Informatics.
[63] T. Trabasso,et al. Constructing inferences during narrative text comprehension. , 1994 .
[64] Eamonn J. Keogh,et al. An online algorithm for segmenting time series , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[65] Michael Elhadad,et al. An Overview of SURGE: a Reusable Comprehensive Syntactic Realization Component , 1996, INLG.
[66] Kathleen F. McCoy,et al. Taking Time to Structure Discourse: Pronoun Generation Beyond Accessibility , 2020, Proceedings of the Twenty First Annual Conference of the Cognitive Science Society.
[67] Robert Logie,et al. Expertise and the interpretation of computerized physiological data: implications for the design of computerized monitoring in neonatal intensive care , 2002, Int. J. Hum. Comput. Stud..
[68] Luca Chittaro,et al. Temporal Granularity and Indeterminacy in Reasoning About Actions and Change: An Approach Based on the Event Calculus , 2002, Annals of Mathematics and Artificial Intelligence.
[69] Ben Shneiderman,et al. Maintaining concentration to achieve task completion , 2005, DUX '05.
[70] Wolfgang Klein,et al. Time in language , 1994 .
[71] B. Penninx,et al. A Randomized Controlled Trial of a Tailored Primary Care Program to Reverse Excessive Alcohol Consumption , 2012, The Journal of the American Board of Family Medicine.
[72] Gilhooley,et al. The cognitive processes of doctors and nurses in the interpretation of physiological monitoring data in the neonate , 2000, Early human development.
[73] Ehud Reiter,et al. Book Reviews: Building Natural Language Generation Systems , 2000, CL.
[74] Catherine Plaisant,et al. The challenge of information visualization evaluation , 2004, AVI.
[75] Ralf Klabunde,et al. Lexical choice of modal expressions , 2007, ENLG.
[76] Ehud Reiter,et al. SumTime-Mousam: Configurable marine weather forecast generator , 2003 .
[77] Albert Gatt,et al. Towards a Possibility-Theoretic Approach to Uncertainty in Medical Data Interpretation for Text Generation , 2009, KR4HC.
[78] Alison Cawsey,et al. Personalized and adaptive systems for medical consumer applications , 2002, CACM.
[79] Emiel Krahmer,et al. Efficient context-sensitive generation of referring expressions , 2002 .
[80] Bernadette Strople,et al. Can technology improve intershift report? What the research reveals. , 2006, Journal of professional nursing : official journal of the American Association of Colleges of Nursing.
[81] Wolfgang Jank,et al. Representing Unevenly-Spaced Time Series Data for Visualization and Interactive Exploration , 2005, INTERACT.
[82] Ehud Reiter,et al. Lessons from a failure: Generating tailored smoking cessation letters , 2003, Artif. Intell..
[83] R. Power,et al. Summarisation and Visualisation of e-Health Data Repositories , 2005 .
[84] Zeno Vendler,et al. Verbs and Times , 1957, The Language of Time - A Reader.
[85] Roque Marín,et al. Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains , 2006, Artif. Intell. Medicine.
[86] Dirk Kraus,et al. Suregen-2: a shell system for the generation of clinical documents , 2003, EACL.
[87] Vladimir Ryabov,et al. Probabilistic temporal interval networks , 2004, Proceedings. 11th International Symposium on Temporal Representation and Reasoning, 2004. TIME 2004..
[88] Karen Kukich,et al. Design of a Knowledge-Based Report Generator , 1983, ACL.
[89] Ehud Reiter,et al. An Architecture for Data-to-Text Systems , 2007, ENLG.
[90] B L Humphreys,et al. The UMLS project: making the conceptual connection between users and the information they need. , 1993, Bulletin of the Medical Library Association.
[91] R. Logie,et al. When a graph is poorer than 100 words: A comparison of computerised natural language generation, human generated descriptions and graphical displays in neonatal intensive care , 2010 .
[92] Judith Masthoff,et al. Generating Referring Expressions: Making Referents Easy to Identify , 2007, Computational Linguistics.
[93] Kees van Deemter. Generating Referring Expressions that Involve Gradable Properties , 2006, CL.
[94] Richard I. Kittredge,et al. Using natural-language processing to produce weather forecasts , 1994, IEEE Expert.
[95] Albert Gatt,et al. Text Content and Task Performance in the Evaluation of a Natural Language Generation System , 2009, RANLP.
[96] Norman Alm,et al. Using NLG to Help Language-Impaired Users Tell Stories and Participate in Social Dialogues , 2009, ENLG.
[97] Rolf A. Zwaan. Time in Language, Situation Models, and Mental Simulations , 2008 .
[98] William Winn,et al. Chapter 1 Contributions of Perceptual and Cognitive Processes to the Comprehension of Graphics , 1994 .
[99] Bonnie L. Webber,et al. The Interpretation of Tense in Discourse , 1987, ACL.
[100] N. McIntosh,et al. A randomized, controlled trial of computerized physiologic trend monitoring in an intensive care unit. , 1998, Critical care medicine.
[101] Robin I. M. Dunbar,et al. Social networks, support cliques, and kinship , 1995, Human nature.
[102] Anna S. Law,et al. A Comparison of Graphical and Textual Presentations of Time Series Data to Support Medical Decision Making in the Neonatal Intensive Care Unit , 2005, Journal of Clinical Monitoring and Computing.
[103] John A. Quinn,et al. Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[104] Didier Dubois,et al. Fuzziness and Uncertainty in Temporal Reasoning , 2003, J. Univers. Comput. Sci..
[105] José Coch. System Demonstration Interactive Generation And Knowledge Administration In Multimeteo , 1998, INLG.
[106] Floriana Grasso,et al. Refining instructional text generation after evaluation , 1999, Artif. Intell. Medicine.
[107] Gary Ewing,et al. The NEONATE Database , 2003 .
[108] Bruce G. Buchanan,et al. The MYCIN Experiments of the Stanford Heuristic Programming Project , 1985 .
[109] Janet Marie Hitzeman. Temporal adverbials and the syntax-semantics interface , 1994 .
[110] Kathleen McKeown,et al. Tailoring Lexical Choice to the User's Vocabulary in Multimedia Explanation Generation , 1993, ACL.
[111] Massimiliano Giacomin,et al. The algebra IAfuz: a framework for qualitative fuzzy temporal reasoning , 2006, Artif. Intell..
[112] James Pustejovsky,et al. Machine Learning of Temporal Relations , 2006, ACL.
[113] Samson W. Tu,et al. Protégé-2000: An Open-Source Ontology-Development and Knowledge-Acquisition Environment: AMIA 2003 Open Source Expo , 2003, AMIA.
[114] Jim Hunter,et al. TSNet - A Distributed Architecture for Time Series Analysis , 2008, Computer-based Medical Guidelines and Protocols.
[115] Edward H. Shortliffe,et al. Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence) , 1984 .
[116] Bernard Comrie,et al. Time in language. , 2000 .
[117] Rainer Bromme,et al. Choice of Words in Doctor–Patient Communication: An Analysis of Health-Related Internet Sites , 2007, Health communication.
[118] Anja Belz,et al. ITRI-03-21 And Now with Feeling : Developments in Emotional Language Generation , 2004 .
[119] Ernest Friedman Hill,et al. Jess in Action: Java Rule-Based Systems , 2003 .
[120] Heidrun Schumann,et al. Visualizing time-oriented data - A systematic view , 2007, Comput. Graph..
[121] Gary Ewing,et al. Mismatched Concepts In A Neonatal Intensive Care Unit (NICU): Further Issues For Computer Decision Support? , 2004, Journal of Clinical Monitoring and Computing.
[122] Chris Mellish,et al. A Reference Architecture for Natural Language Generation Systems , 2006, Natural Language Engineering.
[123] Anja Belz,et al. System Building Cost vs. Output Quality in Data-to-Text Generation , 2009, ENLG.
[124] Silvia Miksch,et al. Visualization methods for data analysis and planning in medical applications , 2002, Int. J. Medical Informatics.
[125] Lawrence M. Fagan,et al. Combining Physiologic Models and Symbolic Methods to Interpret Time-Varying Patient Data* , 1991, Methods of Information in Medicine.
[126] van DeemterKees. Generating Referring Expressions that Involve Gradable Properties , 2006 .
[127] P. Sánchez,et al. VISUALIZATION METHODS FOR TIME-DEPENDENT DATA-AN OVERVIEW , 2003 .
[128] Chris Mellish,et al. Choosing the content of textual summaries of large time-series data sets , 2006, Natural Language Engineering.
[129] Alain Polguère,et al. Generation of Extended Bilingual Statistical Reports , 1992, COLING.
[130] Stuart J. Russell,et al. Probabilistic detection of short events, with application to critical care monitoring , 2008, NIPS.
[131] R. Kibble. Cb or not Cb? Centering theory applied to NLG , 1999 .
[132] Anja Belz,et al. Comparing Automatic and Human Evaluation of NLG Systems , 2006, EACL.
[133] Ehud Reiter,et al. Generating basic skills reports for low-skilled readers* , 2008, Natural Language Engineering.
[134] Caroline Ramsey,et al. Narrative , 2005, Studying The Lord of the Rings.
[135] Leo Wanner,et al. Automatic Production of Multilingual Environmental Information , 2007, EnviroInfo.
[136] E. Tufte,et al. Graphical summary of patient status , 1994, The Lancet.
[137] W. Muller,et al. Visualization methods for time-dependent data - an overview , 2003, Proceedings of the 2003 Winter Simulation Conference, 2003..
[138] Stephan Busemann. ENLG-07 : 11th European Workshop on Natural Language Generation - Proceedings - ; Schloss Dagstuhl, Germany, 17-20 June 2007 , 2007 .