Nanosemantika ist ein führender russischer Entwickler im Bereich künstliche Intelligenz, der 2005 gegründet wurde und sich auf angewandte Linguistik, Internettechnologien und Lösungen für einen qualitativ hochwertigen Kundenservice spezialisiert.
In 14 Jahren haben wir viele Technologien der Mensch-Maschine-Kommunikation sowie eine riesige Wissensbasis von Dialogen über mehrere Bereiche und menschliche Aktivitäten in mehreren Sprachen angesammelt.
Igor Ashmanov und Natalia Kasperskaya
Stanislav Ashmanov
Nanosemantika ist ein Resident der Skolkovo-Stiftung und Mitglied des NeuroNet-Clusters der nationalen technologischen Initiative (NTI)
“Elephants were the first topic that we trained our inf to know. Mikhail Volovich wanted to create your ordinary, unsophisticated gal, so that in a conversation, it would be possible to play with her character and communication style. I started with two infs: a hedgehog seller and Petrovich. Petrovich was supposed to be just one of us guys, the one who can talk to you heart-to-heart about the real stuff. The hedgehog seller is still popular with the audience, people engage with him regularly! It is a promoter inf who offers its interlocutor to buy a hedgehog, has a great grip of the conversation focus, always comes back to the purpose of the conversation and actively promotes it.”
“The idea was for people to start creating chatbots that are interesting for them to keep a conversation with. Say you are interested in cultivating guppy fish; then your chatbot will know absolutely everything about guppy including jokes and anecdotes. This is how one person can accumulate their knowledge in quite a tangible form. It is one thing to create text, but we take it to a whole new level by offering to create an informed chatterbox. Further on, if a user has a website or a lifejournal, the chatbot can be incorporated there as well. Meaning that if the robot owner is offline, it is still possible to check out the resource and ask a few questions about guppy fish. From the very beginning we intended that the bots interact not just with people, but with one another. Such conversations would allow them to identify who is more knowledgeable in a certain area of expertise.”
“Linguists see our technology as some sort of a toy. Take ABBYY that works on machine translation. Their experts have been trying to comprehensively analyze the text structure, build its syntactic representation, followed by the semantic representation. They have been working on this for over 20 years, and it is only now that they are ready to showcase some Alpha versions. At the same time, our infs recognize text on the heuristic level, foregoing the in-depth analysis. It is the language that we have developed that allows us to trust various heuristic methods. It accounts for the context without spending tremendous power supplies on its attempts to calculate all possible options and converge or imitate the human possibilities.”
Das erste Chatbot, das Vietnamesisch spricht, wird entwickelt. An seiner Gründung nehmen die aus Vietnam eingeladenen Linguisten teil. Dieser virtuelle Berater wird auf einer Suchressource www.wada.vn gehostet. Das Chatbot, das eine komplexe Sprache spricht, wird speziell entwickelt, um die Vielseitigkeit und Unabhängigkeit unserer Technologie zur Schaffung virtueller Gesprächspartner unter „Kampfbedingungen“ zu testen.