This paper investigates the application of cotraining and self-training to word sense disambiguation. Optimal and empirical parameter selection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines cotraining with majority voting is introduced, with the effect of smoothing the bootstrapping learning curves, and improving ...

This paper presents re-training, a bootstrapping algorithm that automatically acquires semantically annotated data, ensuring high levels of precision. This algorithm uses a corpus-based system of word sense disambiguation that relies on maximum entropy probability models. The re-training method consists of the iterative feeding of training-classification cycles with new and high-confidence exam...

This paper presents a graph-based method for all-word word sense disambiguation of biomedical texts using semantic relatedness as edge weight. Semantic relatedness is derived from a term-topic co-occurrence matrix. The sense inventory is generated by the MetaMap program. Word sense disambiguation is performed on a disambiguation graph via a vertex centrality measure. The proposed method achieve...

A large number of news articles are published on the Web every day, and demand of discovering news articles on new/important topics has been growing. In this paper, we present a method for detecting characteristic words co-occurring with a target word (characteristic co-occurrence words) to help users find important topics related to the target word. The method divides news articles published i...

background: the aim of this study was to survey the iranian parasitology researchers’ performance, and analyse and visualize the scientific outputs of their co-authorship network. methods: this study was conducted using scientometric method and social network analysis (sna). the data extracted from the web of science (wos) databases in july 10th 2014. totally, 1048documents of all types in rese...

the effect of acetate ion introduced to aqueous solutions was investigated for the extraction/separation of ni and co from a dilute sulfate media. the separation of co and ni was improved by introducing acetate to aqueous media. by the use of the slope analysis method,the stoichiometric coefficient of the extractant was found to be 4 for cobalt and 3.5 or 4 for nickel depending on the acetate c...

The development of scientific research in the area customer purchase decisions computer sciences is one most important areas study, accounting for 37.5% all publications and expanding steadily over time. Identifying possible interest significance this essential. Through bibliometric analysis, study aims to illustrate on buy decision. Using Scopus database's VOSviewer programme data analysis too...

Seamless learning has a significance that been increasing in recent years, and an number of studies on the subject literature draws attention. This study aimed to examine research seamless between 1996 2020 with bibliometric analysis method. The Scopus database was used collection data. After various screening processes, total 389 publications were included analysis. Descriptive distribution by...