There have been many proposals to compute similarities between words based on their distributions in contexts. However, these approaches do not distinguish between synonyms and an...
Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
Modern software systems are typically large and complex, making comprehension of these systems extremely difficult. Experienced programmers comprehend code by seamlessly processi...
Giriprasad Sridhara, Emily Hill, Lori L. Pollock, ...
Distributional similarity has been widely used to capture the semantic relatedness of words in many NLP tasks. However, various parameters such as similarity measures must be hand...
The definition of lexical semantic similarity measures has been the subject of lots of works for many years. In this article, we focus more specifically on distributional semantic...