Meet Musio

机器人家庭教师Musio在日本首次亮相:主打个性化

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Robot tutor Musio makes its retail debut in Japan

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A method for measuring sentence similarity and its application to Conversational Agents

In this paper, semantic information and word order are used in order to determine sentence similarity.  In order to do that, the authors introduce their proposed algorithm which takes into account our common, shared lexical corpus and the frequency of words that are similar across sentences.   The analyzation of text symmetry has been used on long texts to measure word similarity in the past.  For the most part it was successful because the texts which were being analyzed had a higher frequency of return regarding word similarity due to their length.  On the other hand, shorter texts were harder to analyze in this way because there were a limited number of words to work with, ultimately meaning a smaller […]

Answering Tasks for AI

Goal The aim of this short summary is to provide an overview of the tasks an AI system is, should be and will be capable to execute in the near future. In particular we focus on classifying tasks with respect to NLP. Motivation When testing existing algorithms it is of great importance to have a clear interpretation of the results. This can be achieved by setting up specific learning environments in such a way that the complexity of the task is always under control. More generally, the state-of-the-art problems determine next development steps for Musio. Ingredients common sense, coreference, compound, conjunction, deduction, induction, argument relation, counting, negation, indefinite knowledge, time reasoning, positional and size reasoning, path finding, motivational reasoning. Steps […]

DIALOGUE AND CONVERSATIONAL AGENTS

Summary of Jurafsky-Martin (Chapter 19) This paper discusses the elementary structures of spoken dialogue systems (also known as spoken language systems or conversational agents). These systems are typically programs that allow people to communicate with machines in natural spoken language in order to accomplish a variety of tasks from booking flights on automated phone systems to having conversations about things like sports and weather. Research on these systems depends heavily on our understanding of human conversation and dialogue practices. In order to create a spoken dialogue system that is efficient, natural, and has a high task success rate, there are quite a few things to accomplish. There are five elements to consider: automatic speech recognition (ASR), natural language understanding (NLU), […]