Corpus ID: 5779381

A Systematic Approach for Automatically Generating Derivational Variants in Lexical Tools Based on the SPECIALIST Lexicon

@inproceedings{Lu2012ASA,
  title={A Systematic Approach for Automatically Generating Derivational Variants in Lexical Tools Based on the SPECIALIST Lexicon},
  author={C. J. Lu and Lynn McCreedy and Destinee L. Tormey and A. Browne},
  year={2012}
}
1. Introduction The demand for natural language processing (NLP) in medicine has grown significantly in recent years. This growth is expected to increase rapidly due to the continuing adoption of electronic medical records (EMRs). Medical language processing (MLP) seeks to analyze linguistic patterns found not only in electronic medical records, but also in published biomedical research, clinical trials reports, and other sources. Due to the great deal of lexical variation in natural language… Expand
The Unified Medical Language System SPECIALIST Lexicon and Lexical Tools: Development and applications
TLDR
The objective is to provide generic, broad coverage and a robust lexical system for NLP applications, and a novel multiword approach and other planned developments are proposed. Expand
Implementing Comprehensive Derivational Features in Lexical Tools Using a Systematical Approach
TLDR
The generation of SD (not from nomD) based on the Lexicon in the Lexical Tools, including both SD-Facts and SD-Rules is described, including new derivational features, such as negation, derivation types, and enhanced algorithms. Expand
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TLDR
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TLDR
A new systematic approach to lexical multiword acquisition from MEDLINE through filters and matchers based on empirical models is described and improvement in recall or precision can be anticipated in NLP projects using the MEDLINE distilled n-gram set, SPECIALIST Lexicon and its applications. Expand
Generating Multiwords from MEDLINE in the SPECIALIST Lexicon
Multiwords are vital to better NLP systems for more effective and efficient parsers, refining information retrieval searches, enhancing precision and recall in NLP applications, etc. The LexicalExpand
Generating SD-Rules in the SPECIALIST Lexical Tools - Optimization for Suffix Derivation Rule Set
TLDR
A methodology to select an optimized SD-Rule set that meets the requirement of 95\% system precision with best system performance from SD candidate rules is described and results in better precision and recall for NLP applications using Lexical Tools derivational related flow components. Expand
Enhanced LexSynonym Acquisition for Effective UMLS Concept Mapping
TLDR
The LSG has developed a new system for element synonym acquisition based on new enhanced requirements and design for better performance and the results show a 36.71 times growth of synonyms in the Lexicon (lexSynonym) in the 2017 release. Expand
Enhanced Features in the SPECIALIST Lexicon - Antonyms
TLDR
The objective is to develop a systematic approach to generate antonyms in the SPECIALIST Lexicon (thereafter, the Lexicon) and hope to provide generic and comprehensive antonym features needed for the NLP community. Expand

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