Text Summarization for Chatbots
A conversational platform built on Amazon Alexa Skills is implemented, providing a user with summarized content of a Wikipedia website, and an extractive latent semantic analysis and abstractive discourse-aware attention model are evaluated on publicly available datasets.
Abstract
Recent advances in speech recognition and natural language understanding have brought an edge to the communication between humans and computers. With personal assistants and chatbots slowly becoming parts of our lives, we implement a conversational platform built on Amazon Alexa Skills, providing a user with summarized content of a Wikipedia website. A comprehensive overview of the state of the art in dialogue systems and unstructured text summarization areas is provided, and an extractive latent semantic analysis and abstractive discourse-aware attention model are evaluated on publicly available datasets. Word2vec word embeddings are further proposed and validated as a possible improvement. The selected approach is implemented into the chatbot providing a practical use case.