David Ferrucci


2010

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PRISMATIC: Inducing Knowledge from a Large Scale Lexicalized Relation Resource
James Fan | David Ferrucci | David Gondek | Aditya Kalyanpur
Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading

2008

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A Development Environment for Configurable Meta-Annotators in a Pipelined NLP Architecture
Youssef Drissi | Branimir Boguraev | David Ferrucci | Paul Keyser | Anthony Levas
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

Information extraction from large data repositories is critical to Information Management solutions. In addition to prerequisite corpus analysis, to determine domain-specific characteristics of text resources, developing, refining and evaluating analytics entails a complex and lengthy process, typically requiring more than just domain expertise. Modern architectures for text processing, while facilitating reuse and (re-)composition of analytical pipelines, do place additional constraints upon the analytics development, as domain experts need not only configure individual annotator components, but situate these within a fully functional annotator pipeline. We present the design, and current status, of a tool for configuring model-driven annotators, which abstracts away from annotator implementation details, pipeline composition constraints, and data management. Instead, the tool embodies support for all stages of ontology-centric model development cycle from corpus analysis and concept definition, to model development and testing, to large scale evaluation, to easy and rapid composition of text applications deploying these concept models. With our design, we aim to meet the needs of domain experts, who are not necessarily expert NLP practitioners.

2003

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Accelerating Corporate Research in the Development, Application, and Deployment of Human Language Technologies
David Ferrucci | Adam Lally
Proceedings of the HLT-NAACL 2003 Workshop on Software Engineering and Architecture of Language Technology Systems (SEALTS)