Speaker: Natalie Schluter (IT University Copenhagen)
"Some tough and strange problems in automatic summarisation"
11 February 2019, 12:30PM
Bocconi University, Room 3.b3.sr01
via Roentgen 1, 3rd floor
Automatic summarisation, extractive and abstractive, is a tough task both conceptually and computationally. The task has several important applications in social science research, and comprises a true test of the depth of language understanding by computers. In this talk I will survey some of the challenges in defining the automatic summarisation task, and how it corresponds to our data and our evaluation methods. In particular, I discuss some central caveats of summarisation, incurred in the use of the ROUGE metric for evaluation, with respect to optimal and/or human solutions. I also give some preliminary outlook for future definition of the problem, given these findings and consequential new horizons in system development.
Natalie is Associate Professor in NLP and Data Science at the IT University (ITU), in Copenhagen, Denmark. At ITU she co-developed and now leads the first Data Science programme in Denmark, a BSc. Before coming to ITU, she held positions as Chief Analyst at MobilePay, Danske Bank, and Postdoctoral Researcher at the University of Copenhagen and Malmö University.
Natalie holds a PhD in NLP from Dublin City University's School of Computing. She holds a further four degrees: an MSc in Mathematics from Trinity College, Dublin, a BSc in Mathematics and MA in Linguistics from the University of Montreal, and a BA in French and Spanish.
Natalie is a Canadian, living in Copenhagen for the past 10 years with her husband and two daughters.