many textbooks include semantically related words and sometimes teachers add synonyms, antonyms, etc. to the words in order to present new vocabulary items without questioning the possible effects. this study sought to investigate the effect of teaching vocabulary through synonym, semantically unrelated, and hyponym sets based on higa’s (1963) proposed continuum. a total of 120 iranian intermed...

This paper presents a method of building a gold standard test set of Thai WordNet. The results of this research can be utilised for evaluating or comparing the results from different approaches of Thai WordNet construction. In this research, a part of Thai WordNet is carefully handcrafted from Common Base Concepts’ FirstOrderEntities with five translation resources. However, we found that to bu...

Many textbooks include semantically related words and sometimes teachers add synonyms, antonyms, etc. to the words in order to present new vocabulary items without questioning the possible effects. This study sought to investigate the effect of teaching vocabulary through synonym, semantically unrelated, and hyponym sets based on Higa’s (1963) proposed continuum. A total of 120 Iranian intermed...

The new trend in sentiment classification is to use semantic features for representation of documents. We propose a semantic space based on WordNet senses for a supervised document-level sentiment classifier. Not only does this show a better performance for sentiment classification, it also opens opportunities for building a robust sentiment classifier. We examine the possibility of using simil...

We present a method for grouping the synonyms of a lemma according to its dictionary senses. The senses are defined by a large machine readable dictionary for French, the TLFi (Trésor de la langue française informatisé) and the synonyms are given by 5 synonym dictionaries (also for French). To evaluate the proposed method, we manually constructed a gold standard where for each (word, definition...