Machine Learning Coffee Seminars

Machine Learning Coffee Seminars2019-01-14T11:39:04+03:00

About Us

Machine Learning Coffee seminars are weekly seminars held jointly by the Aalto University and the University of Helsinki. The seminars aim to gather people from different fields of science with interest in machine learning. Seminars will be held weekly on Mondays at 9 am – 10 am. The location alternates between Aalto University and the University of Helsinki. At Aalto University, talks will be held in Konemiehentie 2, seminar room T6 and at the University of Helsinki in Kumpula, seminar room Exactum D122 (Gustaf Hällströmin katu 2b), unless otherwise noted. Talks will begin at 9:15 am and coffee will be served from 9:00 am.

Subscribe to our mailing list where seminar topics are announced beforehand.

Upcoming Talks (2019)

April 2019

AI approaches to support language learning

Date: April 29, 2019

Abstract: We will overview Revita, a project in CALL – computer-aided (human) language learning. Specifically, we work on language learning beyond the elementary level – for intermediate and advanced learners (beginners get adequate support from the myriad existing services and applications). Revita aims to simulate a good teacher, by modeling and assessing the learner’s state and progress. One important aspect of our approach is allowing the user to learn from /authentic/ materials – arbitrary texts chosen by the users themselves.

According to surveys, Revita is the first AI-based system of scale that:
– works beyond the elementary level: targets intermediate to advanced
– has multi-lingual focus (an English-only system exists for advanced
essay assessment),
– is used in official university-level curricula – beyond “academic”
We are working on expanding to additional learning environments and additional languages.

Our approach allows us to collect data to analyze patterns of language learning in great depth and detail. From on-going studies with actual learners, we collect data about the learning process – about typical mistakes, paths of progress, etc. This data provides a playground for research problems, which we will discuss. I will focus on two sides of the research:
– building the tools needed to collect data, and
– methods of analysis and applications of the collected data, which
include neural networks, in particular, translation and sequence-to-sequence models.

Roman Yangarber has led the Research Group in NLP at the department of Computer Science, University of Helsinki, over the last 10 years. The group has been working on a variety of themes in NLP, researching how language works, and how computers can better understand language. Research themes include analysis of news media, and modeling language evolution. The more recent research – AI support for language learning – has resulted in a system being used by end-users at several universities; it has also won a best paper award at a Digital Humanities conference last year.
Speaker: Roman Yangarber
Affiliation: Professor of Computer Science, University of Helsinki

Place of Seminar: Seminar Room T5, Konemiehentie 2, Aalto University


Samuel Kaski  Professor of Computer Science, Aalto University
Teemu Roos Professor of Computer Science, University of Helsinki
Homayun Afrabandpey Researcher, Aalto University