KenSwQuAD -- A Question Answering Dataset for Swahili Low Resource Language

no code implementations • 4 May 2022 • Barack W. Wanjawa, Lilian D. A. Wanzare, Florence Indede, Owen McOnyango, Lawrence Muchemi, Edward Ombui

The need for Question Answering datasets in low resource languages is the motivation of this research, leading to the development of Kencorpus Swahili Question Answering Dataset, KenSwQuAD.

BIG-bench Machine Learning Question Answering +1

Detecting Everyday Scenarios in Narrative Texts

no code implementations • WS 2019 • Lilian D. A. Wanzare, Michael Roth, Manfred Pinkal

We introduce the task of scenario detection, in which we identify references to scripts.

General Classification text-classification +1

A Crowdsourced Database of Event Sequence Descriptions for the Acquisition of High-quality Script Knowledge

no code implementations • LREC 2016 • Lilian D. A. Wanzare, Aless Zarcone, ra, Stefan Thater, Manfred Pinkal

Scripts are standardized event sequences describing typical everyday activities, which play an important role in the computational modeling of cognitive abilities (in particular for natural language processing).

Clustering