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Automatic Grammar Induction and Parsing Free Text: A Transformation Based Approach
... Automatic Grammar Induction and Parsing Free Text A Transformation Based Approach Automatic Grammar Induction and Parsing Free Text A Transformation Based Approach E r i c B r i l l * D e p a r t m e[.] ...
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Automated information extraction from free-text EEG reports
... We have described an extremely effective and efficient automated method for classifying free text EEG reports. We have demonstrated our method on the problems of identifying reports that describe seizures ...
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Understanding Medical free text: A Terminology driven approach
... It is hard to compile data sources providing the gold standard of mapping for a given free text. However, we evaluated our algorithm using a dataset gathered from clinical hospitals. The dataset consists of ...
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A Multi resolution Framework for Information Extraction from Free Text
... Extraction of relations between entities is an important part of Information Extraction on free text. Previous methods are mostly based on statistical correlation and depend- ency relations between ...
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Statistical Section Segmentation in Free-Text Clinical Records
... clinical free text into sections is an important first step to automatic information retrieval, information extraction and data mining tasks, as it helps to ground the significance of the text ...
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Identify and extract entities from bibliography references in a free text
... tured text, we have to understand which source of data we are facing and which types of data we can use in order to reach the research project ...for free downloading that are used for training systems that ...
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Exploring the effects of Clustering Algorithms on Free Text Recommendation
... to free text recommender ...conceptual text recommender system and use k-Means to partition its search space into different ...of text we ...
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Automated de-identification of free-text medical records
... A very recent development has been a competition run at the first Workshop on Challenges in Natural Language Processing for Clinical Data to de-identify discharge sum- mary free-text data [27]. Excellent ...
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Investigating the Effectiveness of Arabic Language for Free-text Keystroke Dynamics Authentication
... the text length, in [9] the text length is longer than the text typed in this study for building a user’s profile ...longer text is recommended for free-text keystroke in order ...
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Hybrid Question Answering over Knowledge Base and Free Text
... and free text allows the system to answer more open questions to some extent, we still fail at answering some semantically complex questions such as what is the second longest river in USA involving ...
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Learning Document-Level Semantic Properties from Free-Text Annotations
... leveraging free-text annotations to infer se- mantic properties of ...documents. Free-text an- notations are becoming increasingly abundant, due to the recent dramatic growth in semi- ...
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Using NLP to Support Scalable Assessment of Short Free Text Responses
... answer, free text input from stu- dents demands very different skills from assessment based upon multiple-choice ...questions. Free text questions require a student to present the appropri- ...
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A dictionary to identify small molecules and drugs in free text
... goal was speed. Because Peregrine does not rely on part-of-speech tagging or natural language parsing, it is very fast: 100 000 MEDLINE records can be processed in 213 s on a standard PC. The whole of MEDLINE can be ...
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Automatic Grammar Induction and Parsing Free Text: A Transformation Based Approach
... Structural Transformations The next stage involves learning a set of transformations that can be applied to the output of the naive parser to make these sentences better conform to the p[r] ...
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Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models
... Conditional forecasting Once the model is as- sembled, we can run experiments to obtain quan- titative predictions for indicators, which can build intuitions about the complex system in question and support decision ...
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Learning to Recognize Tables in Free Text
... For the first three feature values, F1 = 2/6 since there are two space-character-to-spacecharacter transitions from vline 3 to 4 namely, on hlines 13 and 14; F 2 = 0 since there is no al[r] ...
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De identifying Free Text of Japanese Dummy Electronic Health Records
... If POS is noun and detailed-POS is not non- autonomous word, or x is either “●”, “◯”, “▲” or “■” these symbols are used for manual de-identification due to the datasets are pseudo EHRs[r] ...
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Assessing the quality of evidence for verbal autopsy diagnosis of stroke in Vietnam.
... of free text in the verbal autopsy questionnaires shows that VA is effective for stroke and VA content analysis can be utilized as an adjunct to conventional validation studies in developing countries where ...
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Experimental Uncertainty and Covariance Information in EXFOR Library
... û1 i is the total uncertDLQW\ RI 1 i ) can be coded under the keyword COVARIANCE . In the current format rule, however, the matrix elements are treated as free text and therefore are not suitable as inputs ...
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Freedom and Restraint: Tags, Vocabularies and Ontologies
... introductory text file to which we had access and which explicitly listed the expected metadata rather than relying on user knowledge of standard posting ...all free text en- ...
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