Year: 2014
Type: report
Abstract: Accurate synonym extraction is a highly desired tool in computational semantics and natural language processing (NLP).Intrinsic to many current language models is the Vector Space Model (VSM) whereby linguistic properties are modeled by real vectors of small length compared to the document size.Here, several vector models are discussed.Utilizing the open source Word2Vec tool, temporal trends in biomedical abstracts from MEDLINE have been analyzed via a unique transformation matrix method.Additionally, accuracy of the word vector method and clustering of temporal trends are discussed.
DOI: 10.2172/1165794
Authors: Brandon Buscaino, USDOE National Nuclear Security Administration (NNSA)
Institution: Lawrence Livermore National Laboratory
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2325864142