[Corpora-List] Webinar by Sakriani Sakti (Japan Advanced Institute of Science and Technology)

HiTZ zentroa webinars.hitz at ehu.eus
Thu Apr 28 13:24:33 CEST 2022


Estimada Mónica,

adjunto información sobre un webinar relevante para los miembros de AEPIA. Agradecería que se distribuyera en la lista. gracias!

un saludo oier & eneko

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Dear colleague,

We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). This will be the final webinar for the 2021-2022 series. You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars

Next webinar:

* Speaker: *Sakriani Sakti* (Japan Advanced Institute of Science and

Technology)

* Title: Semi-supervised Learning for Low-resource Multilingual and

Multimodal Speech Processing with Machine Speech Chain

* Date: *May 5, 2022, 15:00 CET*

* Summary: The fundamental issue underlying natural language

understanding is that of semantics – there is a need to move toward

understanding natural language at an appropriate level of

abstraction in order to support natural language understanding and

communication with computers. Machine Learning has become ubiquitous

in our attempt to induce semantic representations of natural

language and support decisions that depend on it; however, while we

have made significant progress over the last few years, it has

focused on classification tasks for which we have large amounts of

annotated data. Supporting high level decisions that depend on

natural language understanding is still beyond our capabilities,

partly since most of these tasks are very sparse and generating

supervision signals for it does not scale. I will discuss some of

the challenges underlying reasoning – making natural language

understanding decisions that depend on multiple, interdependent,

models, and exemplify it mostly using the domain of Reasoning about

Time, as it is expressed in natural language.

* Bio: Dan Roth is the Eduardo D. Glandt Distinguished Professor at

the Department of Computer and Information Science, University of

Pennsylvania, lead of NLP Science at Amazon AWS AI, and a Fellow of

the AAAS, the ACM, AAAI, and the ACL. In 2017, Roth was awarded the

John McCarthy Award, the highest award the AI community gives to

mid-career AI researchers. Roth was recognized “for major conceptual

and theoretical advances in the modeling of natural language

understanding, machine learning, and reasoning.” Roth has published

broadly in machine learning, natural language processing, knowledge

representation and reasoning, and learning theory, and has developed

advanced machine learning based tools for natural language

applications that are being used widely. Roth was the

Editor-in-Chief of the Journal of Artificial Intelligence Research

(JAIR) and a program chair of AAAI, ACL, and CoNLL. Roth has been

involved in several startups; most recently he was a co-founder and

chief scientist of NexLP, a startup that leverages the latest

advances in Natural Language Processing (NLP), Cognitive Analytics,

and Machine Learning in the legal and compliance domains. NexLP was

acquired by Reveal in 2020. Prof. Roth received his B.A Summa cum

laude in Mathematics from the Technion, Israel, and his Ph.D. in

Computer Science from Harvard University in 1995.

Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea

If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info

Best wishes,

HiTZ Zentroa

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