UIMA: an architectural approach to unstructured information processing in the corporate research environment

By David A. Ferrucci, Adam Lally. Natural Language Engineering, 2004

1,037 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/9f8eb04dbafdfda997ac5e06cd6c521f82bf4e4c

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Citations in the corpus

Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics (2013, methodology): “(Standoff markup in XML [18,19] is an important and common case, as are more explicitly graph-oriented systems such as GATE, ATLAS or UIMA [4,20,21] – see below.)”
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications (2010, methodology): “The cTAKES runs on Apache Unstructured Information Management Architecture (UIMA) 46 47 and Java 1.5.”
The Stanford CoreNLP Natural Language Processing Toolkit (2014, methodology): “• To provide a lightweight framework, using plain Java objects (rather than something of heavier weight, such as XML or UIMA’s Common Analysis System (CAS) objects).”
Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review (2017, methodology): “We also identified a number of systems using the Unstructured Information Management Architecture [19] (N = 7) and the General Architecture for Text Engineering [20,21] (N = 6) frameworks.”
DKPro Similarity: An Open Source Framework for Text Similarity (2013, methodology): “DKPro Similarity is designed to complement DKPro Core 1 , a collection of software components for natural language processing based on the Apache UIMA framework (Ferrucci and Lally, 2004).”
WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations (2013, background): “In memory and on the ﬁle system, annotations are stored 3 www.crowdflower.com (Ferrucci and Lally, 2004).”
YodaQA: A Modular Question Answering System Pipeline (2015, methodology): “The pipeline is implemented mainly in Java, using the popular Apache UIMA framework [11].”
Resource Interoperability for Sustainable Benchmarking: The Case of Events (2018, neutral): “These include GATE (Cunningham, 2002), UIMA (Ferrucci and Lally, 2004), LAF/GrAF (Ide and Romary, 2004; Ide and Suderman, 2007), NIF (Hell-mann et al., 2013), NAF/GAF (Fokkens et al., 2014) and PAULA/POWLA (Chiarcos and Erjavec, 2011; Chiarcos, 2012b).”
Reusable workflows for gender prediction (2018, methodology): “…open source alternatives, such as the GATE platform (Cunningham, 2002) (General Architecture for Language Engineering) or the open source implementation of the IBM’s Unstructured Information Management Architecture (Apache UIMA) (Ferrucci and Lally, 2004) enable workflow and data sharing.”
Design and realization of a modular architecture for textual entailment (2013, methodology): “For the LAP, inputs and outputs of components are defined by IBM’s Unstructured Information Management Architecture (UIMA) (Ferrucci and Lally 2004) and its type system.”
EpiDEA: Extracting Structured Epilepsy and Seizure Information from Patient Discharge Summaries for Cohort Identification (2012, methodology): “The cTAKES builds on the Apache Unstructured Information Management Architecture (UIMA) framework[15] and OpenNLP toolkit [16].”
Watson: Beyond Jeopardy! (2013, background): “DeepQA has a massively parallel, component-based pipeline architecture [16], which uses an extensible set of structured and unstructured content sources as well as broad range of pluggable search and scoring components that allow integration of many different analytic techniques.”
Clinical Information Extraction Applications: A Literature Review (2017, methodology): “It is built upon multiple Apache open-source projects, the Apache Unstructured Information Management Architecture (UIMA) framework [42] and the Apache OpenNLP toolkit [43].”