Integrated Eojeol Embedding for Erroneous Sentence Classification in Korean Chatbots

Understand

This paper attempts to analyze the Korean sentence classification system for a chatbot.

• Sentence classification is the task of classifying an input sentence based on predefined categories.
• However, spelling or space error contained in the input sentence causes problems in morphological analysis and tokenization.
• This paper proposes a novel approach of Integrated Eojeol (Korean syntactic word separated by space) Embedding to reduce the effect that poorly analyzed morphemes may make on sentence classification.