Corpus ID: 5779381

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

  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},
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
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
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
Using Element Words to Generate (Multi)words for the SPECIALIST Lexicon
A new systematic approach to identify single words and multiwords from MEDLINE through the use of element words, which shows an accelerated growth of the Lexicon, particularly an increase in multiword records. Expand
Generating a Distilled N-Gram Set - Effective Lexical Multiword Building in the SPECIALIST Lexicon
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
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
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
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


Lexical methods for managing variation in biomedical terminologies.
Access to biomedical terminologies is hampered by the high degree of variability inherent in natural language terms and in the terminologies themselves. The lexicon, lexical programs, databases, andExpand
UMLS knowledge for biomedical language processing.
The focus of the effort is the development of SPECIALIST, an experimental natural language processing system for the biomedical domain that includes a broad coverage parser supported by a large lexicon, modules that provide access to the extensive Unified Medical Language System Knowledge Sources, and a retrieval module that permits experiments in information retrieval. Expand
Data Structure and Algorithms
Data structure is the logical arrangement of data element with the set of operation that is needed to access the element with a set of rules and constraint which shows the relationship that exist between individual pieces of data which may occur. Expand
Structure and algorithms in the SINR wireless model
This work surveys some recent studies aiming at achieving a better understanding of the SINR model and its structural properties and developing efficient design algorithms and communication protocols for it. Expand
Automatic coding of medical vocabulary
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