Agnieszka Falenska: NLP Intelligent Systems – Design and Methodological Perspectives

28. Juni 2022, 18:00 Uhr

Vortrag im Rahmen des SOWI VII Kolloquiums

Zeit: 28. Juni 2022, 18:00 – 19:00 Uhr
Veranstaltungsort: Universität Stuttgart
Abteilung SOWI VII
Raum 2.076
Seidenstr. 36
70174  Stuttgart
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Ort: Seidenstraße 36, Raum 2.076

Im Rahmen des Kolloquiums der Abteilung SOWI VII freuen wir uns ganz herzlich Agnieska Falenska mit dem Vortrag "NLP Intelligent Systems -- Design and Methodological Perspectives" bei uns begrüßen zu dürfen.


Natural Language Processing (NLP) systems aim at analyzing, understanding, and generating human language. Possible applications of these tools are constantly growing and reaching domains beyond the NLP field, with such use cases as medical fact-checking, supporting political debates, or translating technical reports. Yet, standard NLP publications focus primarily on improving the accuracy of developed techniques, leaving out insight on how to apply them outside of the typical experimental setups.

In this talk, I will look into the design of NLP models from three methodological perspectives: run time, accuracy, and training resources. First, I will show how to incorporate these perspectives into guidelines for designing particular NLP architectures -- ensemble dependency parsers. Then, I will focus on the questions related to the training resources. Specifically, I will present my recent work on estimating gender-related biases in Wikipedia's content and their possible consequences for NLP models trained on this data source.


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