For resource-poor languages such as Hmong, large datasets of annotated questions are unavailable, which means that producing an automated question classifier is a potentially challenging task. Currently, a dataset containing 411 annotated Hmong questions is publicly available. The challenge here is to produce a question classifier with adequate accuracy using this available dataset. What weContinue reading “Question classification with limited annotated data”
Category Archives: Word Vectorization
Using Word Embeddings for Semantic Analysis of Nominal Classifiers
Word embeddings created by Word2Vec can be utilized in exploring the semantic distributions of nouns associated with nominal classifiers. In this post, we explore using dendrogram analysis and k-means clustering with word embeddings as a means to form hypotheses for research involving these distributions. Nominal classifiers are known to have a range of semantic valuesContinue reading “Using Word Embeddings for Semantic Analysis of Nominal Classifiers”
Hmong Medical Corpus 