Muse v2.0 Update Summary
Control the “difficulty” of responses Adjusting the level of Musio’s responses to suit the user’s level of English, following the Common European Framework of Reference for Languages guideline – the...
Open Domain Dialogue Dataset Comparison Report
Bach vs. Others This document presents a comparison between curated open-domain dialogue datasets available in the public domain and the data produced by AKA’s Bach data platform. The current report...
AKA’s Paper (ReSmart) is accepted by HIMS 2020
AKA’s paper is accepted by International Conference HIMS (Health Informatics and Medical System) //americancse.org/events/csce2020/conferences/hims20 (July, 2020)
Abusive Language Detection for Muse Engine
Overview Bach, multiple linked dialogue data platform for Muse engine, has utilized multiple resources – artificial intelligence, human reviewers, automated rating system, etc. – in an effort to generate best...
Musio’s High-Level Talks
Introduction Producing sentences which are perceived as natural by a human is a crucial goal of all automated dialogue systems. It makes interactions more natural, avoids misunderstandings, and leads higher...
Bach: data architecture for multi-linked dialogues
Introduction Dialogue systems are systems intended to converse with human users, and recent advancements in AI have contributed to closing the gap between human-machine conversations in many consumer services. AKA...
Musio on Nikkei: “AI technology is coming to our homes, as English conversation partners and home assistants”
We have great news! Musio was featured on The Nikkei (日本経済新聞, Japan Economics Newspaper) On July 1, 2017! Musio was introduced as a personal conversation companion and a friend that can...