Maureen Caudill

Title: Maureen Caudill: Innovator in Document Indexing and Natural Language Processing

Introduction

Maureen Caudill is a prominent inventor based in San Diego, California. She has made significant contributions to the fields of document indexing and natural language processing. With a total of four patents to her name, her work has had a substantial impact on how information is organized and retrieved.

Latest Patents

One of her latest patents is titled "Method and system of ranking and clustering for document indexing and retrieval." This invention presents a relevancy ranking and clustering method that determines the relevance of a document relative to a user's query through a similarity comparison process. The method involves parsing input queries into query predicate structures using an ontological parser. It also includes a comparison of each query predicate structure with document predicate structures to determine a matching degree, represented by a real number. A multilevel modifier strategy is implemented to assign different relevance values to various parts of each predicate structure match, ultimately calculating the matching degree. The relevance of a document is determined by calculating a similarity coefficient based on the structures of each pair of query predicates and document predicates. Additionally, documents are autonomously clustered using a self-organizing neural network that provides a non-subjective coordinate system for judgments.

Another significant patent is the "Ontology-based parser for natural language processing." This invention incorporates a system and method for converting natural-language text into predicate-argument format, making it usable by various applications, including search engines and word processors. The ontology-based parser includes functional components for receiving documents in multiple formats, tokenizing them into instances of concepts from an ontology, and assembling these concepts into predicates. The parser consists of a sentence lexer that converts sentences into a sequence of ontological entities tagged with part-of-speech information, followed by a two-stage process that analyzes grammatical structure and binds arguments into predicates.

Career Highlights

Throughout her career, Maureen has worked with notable organizations, including Science Applications International Corporation. Her expertise in document indexing and natural language processing has positioned her as a leader in her field.

Collaborations

Maureen has collaborated with talented individuals such as Jason Chun-Ming Tseng and Lei Wang, contributing to the advancement of her innovative projects.

Conclusion

Maureen Caudill's work in document indexing and natural language processing showcases her innovative spirit and dedication to improving information retrieval systems. Her patents reflect her commitment to