Talk by Prof. Tim Baldwin (School of Computing and Information Systems The University of Melbourne, Australia)

Prof. Tim Baldwin (School of Computing and Information Systems The University of Melbourne, Australia)

Title: Embedding Language and Space

Abstract:

In this talk, I will present recent work on the dual tasks of Twitter
geolocation prediction (predicting the location of a user given tweets by
them) and computational dialectology (esp. the tasks of predicting the
geographic distribution of terms, or ranking terms for dialectal specificity
to a given location) based on representation learning. Time permitting, I will
also present work on topic-biased language models, where the model jointly
predicts the topic bias of a particular passage of text, and biases its
language model predictions accordingly.

Biosketch:

Tim Baldwin is a Professor in the Department of Computing and Information
Systems, The University of Melbourne, and Associate Dean (Research Training)
within the Melbourne School of Engineering. He is also Director of the
recently-awarded ARC Centre for Cognitive Computing in Medical Technologies,
in partnership with IBM Research. He has previously held visiting positions at
Cambridge University, University of Washington, University of Tokyo, Saarland
University, NTT Communication Science Laboratories, and National Institute of
Informatics. His research interests include text mining of social media,
computational lexical semantics, deep learning, and web mining.

Tim completed a BSc(CS/Maths) and BA(Linguistics/Japanese) at The University
of Melbourne in 1995, and an MEng(CS) and PhD(CS) at the Tokyo Institute of
Technology in 1998 and 2001, respectively. Prior to joining The University of
Melbourne in 2004, he was a Senior Research Engineer at the Center for the
Study of Language and Information, Stanford University (2001-2004). He is the
author of well over 300 peer-reviewed publications across diverse topics in
natural language processing, and the most highly published NLP author of all
time according to the ACL Anthology.Title:
Inference for interval censored point processes with random intensities