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Spark NLP for Healthcare is a commercial extension of Spark NLP for clinical and biomedical text mining. [10] It provides healthcare-specific annotators, pipelines, models, and embeddings for clinical entity recognition, clinical entity linking, entity normalization, assertion status detection, de-identification, relation extraction, and spell checking and correction.
Information extraction is the part of a greater puzzle which deals with the problem of devising automatic methods for text management, beyond its transmission, storage and display. The discipline of information retrieval (IR) [ 3 ] has developed automatic methods, typically of a statistical flavor, for indexing large document collections and ...
Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX.
Text Classification 2011 [485] [486] University of Mainz: Nomao Dataset Nomao collects data about places from many different sources. Task is to detect items that describe the same place. Duplicates labeled. 34,465 Text Classification 2012 [487] [488] Nomao Labs Movie Dataset Data for 10,000 movies. Several features for each movie are given ...
Freeware PDF reader, tagger, editor (simple editions) and converter (free for non-commercial uses). Allows edit of text, draw lines, highlighting of Text, measuring distance. Solid PDF Tools: Proprietary: Convert PDFs into editable documents and create PDFs from a variety of file sources.
Sublime Text is a text and source code editor featuring a minimal interface, syntax highlighting and code folding with native support for numerous programming and markup languages, search and replace with support for regular expressions, an integrated terminal/console window, and customizable themes.
The XML dialect called AIML was developed by Richard Wallace and a worldwide free software community between 1995 [citation needed] and 2002. AIML formed the basis for what was initially a highly extended Eliza called "A.L.I.C.E." ("Artificial Linguistic Internet Computer Entity"), which won the annual Loebner Prize Competition in Artificial Intelligence [3] three times, and was also the ...
Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.